Machine learning.

Induction = processes of inference, learning, and discovery / by: (Electronic resources)

Support vector machine in chemistry / by: (Language materials, printed)

Machine learning and statistical modeling approaches to image retrieval by: (Electronic resources)

Advances in large margin classifiers by: (Electronic resources)

Machine Learning and Robot Perception by: (Language materials, printed)

Machine Learning for Audio, Image and Video Analysis = Theory and Applications / by: (Language materials, printed)

Rule Extraction from Support Vector Machines by: (Language materials, printed)

Metalearning = applications to data mining / by: (Language materials, printed)

Markov logic : = an interface layer for artificial intelligence / by: (Language materials, printed)

Semantic labeling of places with mobile robots by: (Language materials, printed)

Learning automata and stochastic optimization by: (Language materials, printed)

Information theoretic learning = Renyi's entropy and kernel perspectives / by: (Language materials, printed)

Support vector machines for pattern classification by: (Language materials, printed)

Approximation methods for efficient learning of Bayesian networks by: (Language materials, printed)

Handbook of research on machine learning applications and trends = algorithms, methods, and techniques / by: (Electronic resources)

Machine learning : = an algorithmic perspective / by: (Language materials, printed)

A first course in machine learning / by: (Language materials, printed)

Bayesian artificial intelligence / by: (Language materials, printed)

Machine learning for spatial environmental data : = theory, applications and software / by: (Language materials, printed)

Utility-based learning from data / by: (Language materials, printed)

Ensemble machine learning = methods and applications / by: (Electronic resources)

The BOXES methodology = black box dynamic control / by: (Electronic resources)

Intelligent data analysis for real-life applications = theory and practice / by: (Language materials, printed)

Machine learning algorithms for problem solving in computational applications = intelligent techniques / by: (Language materials, printed)

Data-driven methods for adaptive spoken dialogue systems = computational learning for conversational interfaces / by: (Electronic resources)

Foundations of rule learning by: (Electronic resources)

Utility-based learning from data by: (Electronic resources)

Sample efficient multiagent learning in the presence of Markovian agents by: (Electronic resources)

Hybrid classifiers = methods of data, knowledge, and classifier combination / by: (Electronic resources)

Computer vision and machine learning with RGB-D sensors by: (Electronic resources)

Machine learning : = an algorithmic perspective / by: (Language materials, printed)

Shape understanding system = machine understanding and human understanding / by: (Electronic resources)

Grammar-based feature generation for time-series prediction by: (Electronic resources)

Machine learning in medicine = a complete overview / by: (Electronic resources)

Efficient learning machines = theories, concepts, and applications for engineers and system Designers / by: (Electronic resources)

Reinforcement and systemic machine learning for decision making by: (Electronic resources)

Machine learning in image steganalysis by: (Electronic resources)

Autonomous learning systems = from data streams to knowledge in real-time / by: (Electronic resources)

Learning with partially labeled and interdependent data by: (Electronic resources)

Iterative learning control for electrical stimulation and stroke rehabilitation by: (Language materials, printed)

Artificial intelligence applications in information and communication technologies by: (Electronic resources)

Machine learning projects for .NET Developers by: (Electronic resources)

Mathematical problems in data science = theoretical and practical methods / by: (Electronic resources)

Teaching learning based optimization algorithm = and its engineering applications / by: (Electronic resources)

Introduction to pattern recognition and machine learning by: (Electronic resources)

Algorithmic advances in Riemannian geometry and applications = for machine learning, computer vision, statistics, and optimization / by: (Electronic resources)

Machine learning for health informatics = state-of-the-art and future challenges / by: (Electronic resources)

Machine learning paradigms = artificial immune systems and their applications in software personalization / by: (Electronic resources)

Machine learning control - taming nonlinear dynamics and turbulence by: (Electronic resources)

MATLAB machine learning by: (Electronic resources)

Machine learning using R by: (Electronic resources)

Trends in control and decision-making for human-robot collaboration systems by: (Electronic resources)

Visual attributes by: (Electronic resources)

Temporal data mining via unsupervised ensemble learning / by: (Electronic resources)

Medical image recognition, segmentation and parsing : = machine learning and multiple object approaches / by: (Electronic resources)

Deep learning with Python = a hands-on introduction / by: (Electronic resources)

Robot learning from human teachers by: (Electronic resources)

Introduction to deep learning using R = a step-by-step guide to learning and implementing deep learning models using R / by: (Electronic resources)

Deep learning with Python / by: (Language materials, printed)

Mind bugs : = the origins of procedural misconceptions / by: (Language materials, printed)

Learning with kernels : = support vector machines, regularization, optimization, and beyond / by: (Language materials, printed)

Learning kernel classifiers : = theory and algorithms / by: (Language materials, printed)

Kernel methods for pattern analysis / by: (Language materials, printed)

Learning from data : = concepts, theory, and methods / by: (Language materials, printed)

Machine learning = an artificial intelligence approach by: (Language materials, printed)

Machine learning = an artificial intelligence approach by: (Language materials, printed)

Learning and coordination : = enhancing agent performance through distributed decision making / by: (Language materials, printed)

Machine learning : = neural networks, genetic algorithms, and fuzzy systems / by: (Language materials, printed)

Genetic learning for adaptive image segmentation / by: (Language materials, printed)

Explanation-based neural network learning : = a lifelong learning approach / by: (Language materials, printed)

Recent advances in robot learning / by: (Language materials, printed)

Perceptrons : = an introduction to computational geometry / by: (Language materials, printed)

Kernel methods for pattern analysis / by: (Language materials, printed)

Adaptive blind signal and image processing : = learning algorithms and applications / by: (Language materials, printed)

Bioinformatics : = the machine learning approach / by: (Language materials, printed)

Learning with kernels : = support vector machines, regularization, optimization, and beyond / by: (Language materials, printed)

Robot shaping = an experiment in behavior engineering / by: (Electronic resources)

Bioinformatics = the machine learning approach / by: (Electronic resources)

An introduction to computational learning theory by: (Electronic resources)

Mind bugs = the origins of procedural misconceptions / by: (Electronic resources)

An inductive logic programming approach to statistical relational learning / by: (Language materials, printed)

Foundations of learning classifier systems / by: (Language materials, printed)

Innovations in machine learning : = theory and applications / by: (Language materials, printed)

Machine learning : = discriminative and generative / by: (Language materials, printed)

Scalable optimization via probabilistic modeling : = from algorithms to applications / by: (Language materials, printed)

The cross-entropy method : = a unified approach to combinatorial optimization, Monte-Carlo simulation, and machine learning / by: (Language materials, printed)

Pattern recognition and machine learning / by: (Language materials, printed)

Learning kernel classifiers = theory and algorithms / by: (Electronic resources)

Bioinformatics = the machine learning approach / by: (Electronic resources)

Learning with kernels = support vector machines, regularization, optimization, and beyond / by: (Electronic resources)

Blondie24 = playing at the edge of AI / by: (Electronic resources)

Machine learning / by: (Language materials, printed)

Support Vector Machines = Theory and Applications / by: (Language materials, printed)

Foundations of Learning Classifier Systems by: (Language materials, printed)

Machine Learning in Document Analysis and Recognition by: (Language materials, printed)

Data Analysis, Machine Learning and Applications = Proceedings of the 31st Annual Conference of the Gesellschaft fur Klassifikation e.V., Albert-Ludwigs-Universitat Freiburg, March 7-9, 2007/ by: (Language materials, printed)

Machine Learning Techniques for Multimedia = Case Studies on Organization and Retrieval / by: (Language materials, printed)

Design and Analysis of Learning Classifier Systems = A Probabilistic Approach / by: (Language materials, printed)

Learning from data : = concepts, theory, and methods / by: (Language materials, printed)

Predicting structured data by: (Electronic resources)

Machine learning techniques for multimedia : = case studies on organization and retrieval / by: (Language materials, printed)

Support vector machines by: (Language materials, printed)

Logical and relational learning by: (Language materials, printed)

Machine learning = modeling data locally and globally / by: (Language materials, printed)

Machine learning in bioinformatics / by: (Language materials, printed)

Approximation methods for efficient learning of Bayesian networks / by: (Language materials, printed)

Prediction, learning, and games / by: (Language materials, printed)

Metalearning : = applications to data mining / by: (Language materials, printed)

Machine learning and statistical modeling approaches to image retrieval by: (Language materials, printed)

Machine learning in cyber trust = security, privacy, and reliability / by: (Language materials, printed)

Introduction to machine learning / by: (Language materials, printed)

Introduction to semi-supervised learning / by: (Language materials, printed)

Advances in machine learning I = dedicated to the memory of Professor Ryszard S. Michalski / by: (Language materials, printed)

Advances in machine learning II = dedicated to the memory of Professor Ryszard S. Michalski / by: (Language materials, printed)

From motor learning to interaction learning in robots by: (Language materials, printed)

Foundations of inductive logic programming by: (Language materials, printed)

Learning classifier systems = from foundations to applications / by: (Language materials, printed)

Machine learning and its applications = advanced lectures / by: (Language materials, printed)

Sequence learning = paradigms, algorithms, and applications / by: (Language materials, printed)

Robot intelligence = an advanced knowledge processing approach / by: (Language materials, printed)

Scalable fuzzy algorithms for data management and analysis = methods and design / by: (Electronic resources)

Computational modeling and simulation of intellect = current state and future perspectives / by: (Electronic resources)

Machine learning techniques for adaptive multimedia retrieval = technologies, applications, and perspectives / by: (Electronic resources)

Biomedical image analysis and machine learning technologies = applications and techniques / by: (Electronic resources)

Machine learning for vision-based motion analysis = theory and techniques / by: (Electronic resources)

Kernel-based data fusion for machine learning = methods and applications in bioinformatics and text mining / by: (Electronic resources)

Detection and identification of rare audiovisual cues by: (Electronic resources)

Learning in non-stationary environments = methods and applications / by: (Electronic resources)

Machine interpretation of patterns = image analysis and data mining / by: (Electronic resources)

Machine learning approaches to bioinformatics by: (Electronic resources)

Pattern classification using ensemble methods by: (Electronic resources)

Machine learning in computer-aided diagnosis = medical imaging intelligence and analysis / by: (Language materials, printed)

Inductive logic programming = 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011 : revised selected papers / by: (Electronic resources)

Self-evolvable systems = machine learning in social media / by: (Electronic resources)

Scientific data mining and knowledge discovery = principles and foundations / by: (Electronic resources)

Machine learning and systems engineering by: (Electronic resources)

Diagnostic test approaches to machine learning and commonsense reasoning systems by: (Electronic resources)

Machine learning for human motion analysis = theory and practice / by: (Electronic resources)

Machine Learning for Financial Engineering by: (Electronic resources)

Bayesian artificial intelligence by: (Electronic resources)

Machine learning : = theory and applications / by: (Language materials, printed)

Multidimensional particle swarm optimization for machine learning and pattern recognition by: (Electronic resources)

Kernel learning algorithms for face recognition by: (Electronic resources)

Machine learning in healthcare informatics by: (Electronic resources)

Machine learning in medicine - Cookbook by: (Electronic resources)

Analysis and design of machine learning techniques = evolutionary solutions for regression, prediction, and control problems / by: (Electronic resources)

Soft computing in machine learning by: (Electronic resources)

Machine learning in medicine - Cookbook two by: (Electronic resources)

Robust recognition via information theoretic learning by: (Electronic resources)

Instance-specific algorithm configuration by: (Electronic resources)

Machine learning for adaptive many-core machines = a practical approach / by: (Electronic resources)

Intelligent methods for cyber warfare by: (Electronic resources)

Algorithms for reinforcement learning by: (Electronic resources)

Data mining with decision trees = theory and applications / by: (Electronic resources)

Multi-agent machine learning = a reinforcement approach / by: (Electronic resources)

Conformal prediction for reliable machine learning = theory, adaptations, and applications / by: (Electronic resources)

Quantum machine learning = what quantum computing means to data mining / by: (Electronic resources)

Visual quality assessment by machine learning by: (Electronic resources)

Machine learning paradigms = applications in recommender systems / by: (Language materials, printed)

Machine learning in radiation oncology = theory and applications / by: (Language materials, printed)

Machine learning for audio, image and video analysis = theory and applications / by: (Electronic resources)

An introduction to machine learning by: (Electronic resources)

Chemoinformatics and advanced machine learning perspectives = complex computational methods and collaborative techniques / by: (Electronic resources)

Measures of complexity = festschrift for Alexey Chervonenkis / by: (Electronic resources)

Machine Learning Models and Algorithms for Big Data Classification = Thinking with Examples for Effective Learning / by: (Electronic resources)

Rule based systems for big data = a machine learning approach / by: (Electronic resources)

Machine learning in complex networks by: (Electronic resources)

Machine intelligence and signal processing by: (Electronic resources)

Learning from data streams in dynamic environments by: (Electronic resources)

Big data analysis = new algorithms for a new society / by: (Electronic resources)

Human activity recognition and prediction by: (Electronic resources)

Machine learning techniques for gait biometric recognition = using the ground reaction force / by: (Electronic resources)

Knowledge transfer between computer vision and text mining = similarity-based learning approaches / by: (Electronic resources)

Unsupervised learning algorithms by: (Electronic resources)

From curve fitting to machine learning = an illustrative guide to scientific data analysis and computational intelligence / by: (Electronic resources)

Topics in grammatical inference by: (Electronic resources)

Machine learning for evolution strategies by: (Electronic resources)

Machine learning = a Bayesian and optimization perspective / by: (Electronic resources)

Instruction selection = principles, methods, and applications / by: (Electronic resources)

Machine learning in Python = essential techniques for predictive analysis / by: (Electronic resources)

Machine learning = hands-on for developers and technical professionals / by: (Electronic resources)

Data mining and machine learning in building energy analysis by: (Electronic resources)

Multiple instance learning = foundations and algorithms / by: (Electronic resources)

Time-series prediction and applications = a machine intelligence approach / by: (Electronic resources)

Reverse hypothesis machine learning = a practitioner's perspective / by: (Electronic resources)

Intelligent systems and applications = proceedings of the International Computer Symposium (ICS) held at Taichung, Taiwan, December 12-14, 2014 / by: (Electronic resources)

Roadside video data analysis = deep learning / by: (Electronic resources)

Financial signal processing and machine learning / by: (Electronic resources)

Mastering TensorFlow 1.x : = advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras / by: (Language materials, printed)

Practical convolutional neural networks : = implement advanced deep learning models using Python / by: (Language materials, printed)

Practical computer vision : = extract insightful information from images using TensorFlow, Keras, and OpenCV / by: (Language materials, printed)

Gesture recognition by: (Electronic resources)

Deep learning for biometrics by: (Electronic resources)

Game-theoretic learning and distributed optimization in memoryless multi-agent systems by: (Electronic resources)

Python machine learning : = machine learning and deep learning with Python, scikit-learn, and TensorFlow / by: (Language materials, printed)

Deep learning : = a practitioner's approach / by: (Language materials, printed)

Hands-on machine learning with Scikit-Learn and TensorFlow : = concepts, tools, and techniques to build intelligent systems / by: (Language materials, printed)

TensorFlow 1.x deep learning cookbook : = over 90 unique recipes to solve artificial-intelligence driven problems with Python / by: (Language materials, printed)

Machine learning with TensorFlow / by: (Language materials, printed)

Cloud computing for machine learning and cognitive applications / by: (Language materials, printed)

Python machine learning case studies = five case studies for the data scientist / by: (Electronic resources)

Machine learning and cognition in enterprises = business intelligence transformed / by: (Electronic resources)

Machine learning for decision makers = cognitive computing fundamentals for better decision making / by: (Electronic resources)

Machine learning for the quantified self = on the art of learning from sensory data / by: (Electronic resources)

Advances in soft computing and machine learning in image processing by: (Electronic resources)

Kinesthetic perception = a machine learning approach / by: (Electronic resources)

Automatic tuning of compilers using machine learning by: (Electronic resources)

Enhanced machine learning and data mining methods for analysing large hybrid electric vehicle fleets based on load spectrum data by: (Electronic resources)

Practical machine learning with Python = a problem-solver's guide to building real-world intelligent systems / by: (Electronic resources)

Oracle business intelligence with machine learning = artificial intelligence techniques in OBIEE for actionable BI / by: (Electronic resources)

Visual knowledge discovery and machine learning by: (Electronic resources)

Recent advances in learning automata by: (Electronic resources)

Introduction to deep learning = from logical calculus to artificial intelligence / by: (Electronic resources)

Machine learning methods for behaviour analysis and anomaly detection in video by: (Electronic resources)

On the learnability of physically unclonable functions by: (Electronic resources)

Learning systems = from theory to practice / by: (Electronic resources)

Machine learning for model order reduction by: (Electronic resources)

Targeted learning in data science = causal inference for complex longitudinal studies / by: (Electronic resources)

Network anomaly detection = a machine learning perspective / by: (Electronic resources)

Network data analytics = a hands-on approach for application development / by: (Electronic resources)

Application of FPGA to real-time machine learning = hardware reservoir computers and software image processing / by: (Electronic resources)

Practical artificial intelligence = machine learning, bots, and agent solutions using C# / by: (Electronic resources)

Pathological brain detection by: (Electronic resources)

Machine learning = a practical approach on the statistical learning theory / by: (Electronic resources)

Cognitively inspired natural language processing = an investigation based on eye-tracking / by: (Electronic resources)

Learning from data streams in evolving environments = methods and applications / by: (Electronic resources)

Machine learning paradigms = advances in data analytics / by: (Electronic resources)

Applying machine learning for automated classification of biomedical data in subject-independent settings by: (Electronic resources)

Learning-based VANET communication and security techniques by: (Electronic resources)

Data science in practice by: (Electronic resources)

Learn R for applied statistics = with data visualizations, regressions, and statistics / by: (Electronic resources)

Artificial cognitive architecture with self-learning and self-optimization capabilities = case studies in micromachining processes / by: (Electronic resources)

Memetic computation = the mainspring of knowledge transfer in a data-driven optimization era / by: (Electronic resources)

Learn Keras for deep neural networks = a fast-track approach to modern deep learning with Python / by: (Electronic resources)

Machine learning applications using Python = cases studies from healthcare, retail, and finance / by: (Electronic resources)

Machine learning using R = with time series and industry-based use cases in R / by: (Electronic resources)

PyTorch recipes = a problem-solution approach / by: (Electronic resources)

MATLAB machine learning recipes = a problem-solution approach / by: (Electronic resources)

Machine learning and AI for healthcare = big data for improved health outcomes / by: (Electronic resources)

Big data and smart digital environment by: (Electronic resources)

Machine learning in VLSI computer-aided design by: (Electronic resources)

Machine learning techniques for improved business analytics by: (Electronic resources)

Machine learning paradigms = applications of learning and analytics in intelligent systems / by: (Electronic resources)

Adaptive critic control with robust stabilization for uncertain nonlinear systems by: (Electronic resources)

Machine Learning with Microsoft technologies = selecting the right architecture and tools for your project / by: (Electronic resources)

Smart agents for the Industry 4.0 = enabling machine learning in industrial production / by: (Electronic resources)

Deep learning and convolutional neural networks for medical imaging and clinical informatics by: (Electronic resources)

Building machine learning and deep learning models on Google Cloud Platform = a comprehensive guide for beginners / by: (Electronic resources)

Sensor analysis for the Internet of things / by: (Electronic resources)

Deep learning for autonomous vehicle control : = algorithms, state-of-the-art, and future prospects / by: (Electronic resources)

Hybrid machine intelligence for medical image analysis by: (Electronic resources)

Machine learning and artificial intelligence by: (Electronic resources)

Machine learning-based natural scene recognition for mobile robot localization in an unknown environment by: (Electronic resources)

Machine learning approaches to non-intrusive load monitoring by: (Electronic resources)

Deep learning in healthcare = paradigms and applications / by: (Electronic resources)

Machine learning in aquaculture = hunger classification of Lates calcarifer / by: (Electronic resources)

Machine learning approaches in cyber security analytics by: (Electronic resources)

Machine learning methods for reverse engineering of defective structured surfaces by: (Electronic resources)

Pattern recognition applications and methods = 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019 : revised selected papers / by: (Electronic resources)

Data science = from research to application / by: (Electronic resources)

Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications by: (Electronic resources)

Automated software engineering = a deep learning-based approach / by: (Electronic resources)

Tensor network contractions = methods and applications to quantum many-body systems / by: (Electronic resources)

Modern approaches in machine learning and cognitive science = a walkthrough : latest trends in AI / by: (Electronic resources)

Internet of things, smart computing and technology = a roadmap ahead / by: (Electronic resources)

Feature learning and understanding = algorithms and applications / by: (Electronic resources)

Unsupervised learning in space and time = a modern approach for computer vision using graph-based techniques and deep neural networks / by: (Electronic resources)

Machine learning and deep learning in real-time applications by: (Electronic resources)

Deep learning strategies for security enhancement in wireless sensor networks by: (Electronic resources)

Feature engineering for machine learning and data analytics by: (Electronic resources)

Learn data mining through Excel = a step-by-step approach for understanding machine learning methods / by: (Electronic resources)

Meta-analytics = consensus approaches and system patterns for data analysis / by: (Electronic resources)

Smart agricultural services using deep learning, big data, and IoT by: (Electronic resources)

Research advancements in smart technology, optimization, and renewable energy by: (Electronic resources)

Challenges and applications for implementing machine learning in computer vision by: (Electronic resources)

Advanced deep learning applications in big data analytics by: (Electronic resources)

Images as data for social science research : = an introduction to convolutional neural nets for image classification / by: (Language materials, printed)

Kernel based algorithms for mining huge data sets : = supervised, semi-supervised, and unsupervised learning / by: (Language materials, printed)

Machine learning for audio, image and video analysis : = theory and applications / by: (Language materials, printed)

Machine learning in social networks = embedding nodes, edges, communities, and graphs / by: (Electronic resources)

The "essence" of network security = an end-to-end panorama / by: (Electronic resources)

Practical machine learning in Javascript = tensorflow.js for web developers / by: (Electronic resources)

Artificial neural networks with TensorFlow 2 = ANN architecture machine learning projects / by: (Electronic resources)

Practical machine learning with AWS = process, build, deploy, and productionize your models using AWS / by: (Electronic resources)

Machine learning for economics and finance in TensorFlow 2 = deep learning models for research and industry / by: (Electronic resources)

Hyperparameter optimization in machine learning = make your machine learning and deep learning models more efficient / by: (Electronic resources)

Applied neural networks with TensorFlow 2 = API oriented deep learning with Python / by: (Electronic resources)

Practical natural language processing with Python = with case studies from industries using text data at scale / by: (Electronic resources)

Computational methods for deep learning = theoretic, practice and applications / by: (Electronic resources)

Machine learning and big data analytics paradigms = analysis, applications and challenges / by: (Electronic resources)

Artificial intelligence in breast cancer early detection and diagnosis by: (Electronic resources)

Beginning MLOps with MLFlow = deploy models in AWS SageMaker, Google Cloud, and Microsoft Azure / by: (Electronic resources)

Deploy machine learning models to production = with Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform / by: (Electronic resources)

Deep learning on Windows = building deep learning computer vision systems on Microsoft Windows / by: (Electronic resources)

Machine learning and AI for healthcare = big data for improved health outcomes / by: (Electronic resources)

Applied data science using Pyspark = learn the end-to-end predictive model-building cycle / by: (Electronic resources)

ML.NET revealed = simple tools for applying machine learning to your applications / by: (Electronic resources)

Programming with TensorFlow = solution for edge computing applications / by: (Electronic resources)

Deep learning and edge computing solutions for high performance computing by: (Electronic resources)

Interdisciplinary evolution of the machine brain = vision, touch & mind / by: (Electronic resources)

Machine learning for intelligent multimedia analytics = techniques and applications / by: (Electronic resources)

Proceedings of the Second International Conference on Information Management and Machine Intelligence = ICIMMI 2020 / by: (Electronic resources)

Modern approach to educational data mining and its applications by: (Electronic resources)

TensorFlow 2.x in the Colaboratory Cloud = an introduction to deep learning on Google's Cloud Service / by: (Electronic resources)

Detecting trust and deception in group interaction by: (Electronic resources)

Data Science and Internet of Things = research and applications at the intersection of DS and IoT / by: (Electronic resources)

Artificial intelligence and machine learning for COVID-19 by: (Electronic resources)

Deep learning for hyperspectral image analysis and classification by: (Electronic resources)

Machine learning foundations = supervised, unsupervised, and advanced learning / by: (Electronic resources)

AI and machine learning paradigms for health monitoring system = intelligent data analytics / by: (Electronic resources)

Development and future of internet of drones (IoD) = insights, trends and road ahead / by: (Electronic resources)

Technical advancements of machine learning in healthcare by: (Electronic resources)

Computer vision with maker tech = detecting people with a Raspberry Pi, a thermal camera, and machine learning / by: (Electronic resources)

Data science revealed = with feature engineering, data visualization, pipeline development, and hyperparameter tuning / by: (Electronic resources)

Social big data analytics = practices, tchniques, and applications / by: (Electronic resources)

Artificial intelligence for materials science by: (Electronic resources)

The application of artificial intelligence = step-by-step guide from beginner to expert / by: (Electronic resources)

Fluctuation-induced network control and learning = applying the Yuragi principle of brain and biological systems / by: (Electronic resources)

Machine learning and data mining for emerging trend in cyber dynamics = theories and applications / by: (Electronic resources)

Quantum machine learning with Python = using Cirq from Google Research and IBM Qiskit / by: (Electronic resources)

Beginning machine learning in the browser = quick-start guide to gait analysis with JavaScript and TensorFlow.js / by: (Electronic resources)

A primer on machine learning in subsurface geosciences by: (Electronic resources)

Introduction to machine learning in the cloud with Python = concepts and practices / by: (Electronic resources)

Machine learning for robotics applications by: (Electronic resources)

Modern approaches in machine learning and cognitive science = a walkthrough : latest trends in AI.. Volume 2 / by: (Electronic resources)

Explainable neural networks based on fuzzy logic and multi-criteria decision tools by: (Electronic resources)

Machine learning approaches for urban computing by: (Electronic resources)

Practical machine learning for streaming data with Python = design, develop, and validate online learning models / by: (Electronic resources)

Deep learning with Python = learn best practices of deep learning models with PyTorch / by: (Electronic resources)

Advanced deep learning for engineers and scientists = a practical approach / by: (Electronic resources)

Impact of AI and data science in response to coronavirus pandemic by: (Electronic resources)

Machine learning in dentistry by: (Electronic resources)

Centrality and diversity in search = roles in A.I., machine learning, social networks, and pattern recognition / by: (Electronic resources)

Agile machine learning = effective machine learning inspired by the agile manifesto / by: (Electronic resources)

Learn PySpark = build Python-based machine learning and deep learning models / by: (Electronic resources)

Active lighting and its application for computer vision = 40 years of history of active lighting techniques / by: (Electronic resources)

Fundamentals of pattern recognition and machine learning by: (Electronic resources)

Artificial intelligence and security = 6th International Conference, ICAIS 2020, Hohhot, China, July 17-20, 2020 : proceedings.. Part I / by: (Electronic resources)

Artificial intelligence and security = 6th International Conference, ICAIS 2020, Hohhot, China, July 17-20, 2020 : proceedings.. Part II / by: (Electronic resources)

Artificial intelligence and security = 6th International Conference, ICAIS 2020, Hohhot, China, July 17-20, 2020 : proceedings.. Part III / by: (Electronic resources)

Advances in photometric 3D-reconstruction by: (Electronic resources)

Machine learning methods for stylometry = authorship attribution and author profiling / by: (Electronic resources)

Fundamentals of data analytics = with a view to machine learning / by: (Electronic resources)

Self-service AI with Power BI Desktop = machine learning insights for business / by: (Electronic resources)

Practical TensorFlow.js = deep learning in web app development / by: (Electronic resources)

Machine learning concepts with Python and the Jupyter Notebook environment = using Tensorflow 2.0 / by: (Electronic resources)

Supervised learning with Python = concepts and practical implementation using Python / by: (Electronic resources)

Introducing HR analytics with machine learning = empowering practitioners, psychologists, and organizations / by: (Electronic resources)

Synthetic data for deep learning by: (Electronic resources)

Organizational learning in the age of data by: (Electronic resources)

Representation learning = propositionalization and embeddings / by: (Electronic resources)

Machine learning applications for accounting disclosure and fraud detection by: (Electronic resources)

Examining optoelectronics in machine vision and applications in industry 4.0 by: (Electronic resources)

Deep learning-based image analysis under constrained and unconstrained environments by: (Electronic resources)

Recommender system with machine learning and artificial intelligence = practical tools and applications in medical, agricultural and other industries / by: (Electronic resources)

Machine learning for iOS developers by: (Electronic resources)

Deep learning in computational mechanics = an introductory course / by: (Electronic resources)

Natural language processing recipes = unlocking text data with machine learning and deep learning using Python / by: (Electronic resources)

Deep learning for unmanned systems by: (Electronic resources)

Multi-faceted deep learning = models and data / by: (Electronic resources)

Identifying the complex causes of civil war = a machine learning approach / by: (Electronic resources)

The digital journey of banking and insurance.. Volume II,. Digitalization and machine learning by: (Electronic resources)

Machine learning with quantum computers by: (Electronic resources)

Welding and cutting case studies with supervised machine learning by: (Electronic resources)

Deep learners and deep learner descriptors for medical applications by: (Electronic resources)

Data analysis for direct numerical simulations of turbulent combustion = from equation-based analysis to machine learning / by: (Electronic resources)

Machine learning meets quantum physics by: (Electronic resources)

IoT machine learning applications in telecom, energy, and agriculture = with Raspberry Pi and Arduino Using Python / by: (Electronic resources)

On the path to AI = Law's prophecies and the conceptual foundations of the machine learning age / by: (Electronic resources)

Artificial intelligence and security = 6th International Conference, ICAIS 2020, Hohhot, China, July 17-20, 2020 : proceedings.. Part II / by: (Electronic resources)

Domain adaptation in computer vision with deep learning by: (Electronic resources)

Applied machine learning for health and fitness = a practical guide to machine learning with deep vision, sensors and IoT / by: (Electronic resources)

Dual Learning by: (Electronic resources)

Federated learning = privacy and incentive / by: (Electronic resources)

Modelling changes in understanding = case studies in physical reasoning / by: (Electronic resources)

Machine Learning in Computer Vision by: (Language materials, printed)

Support Vector Machines for Pattern Classification by: (Language materials, printed)

Evolvable Machines = Theory & Practice / by: (Language materials, printed)

An inductive logic programming approach to statistical relational learning by: (Language materials, printed)

Optimal learning / by: (Language materials, printed)

Probability for statistics and machine learning : = fundamentals and advanced topics / by: (Language materials, printed)

Machine learning for microbial phenotype prediction by: (Electronic resources)

Towards integrative machine learning and knowledge extraction = BIRS Workshop, Banff, AB, Canada, July 24-26, 2015 : revised selected papers / by: (Electronic resources)

Machine learning with R by: (Electronic resources)

Bankruptcy prediction through soft computing based deep learning technique by: (Electronic resources)

Machine-learning techniques in economics = new tools for predicting economic growth / by: (Electronic resources)

Pro deep learning with TensorFlow = a mathematical approach to advanced artificial intelligence in Python / by: (Electronic resources)

Computational analysis of sound scenes and events by: (Electronic resources)

Granular computing based machine learning = a big data processing approach / by: (Electronic resources)

Image quality assessment of computer-generated images = based on machine learning and soft computing / by: (Electronic resources)

Machine learning for text by: (Electronic resources)

Deep learning with applications using Python = chatbots and face, object, and speech recognition with TensorFlow and Keras / by: (Electronic resources)

Optimizing data-to-learning-to-action = the modern approach to continuous performance improvement for businesses / by: (Electronic resources)

Advanced data analytics using Python = with machine learning, deep learning and NLP examples / by: (Electronic resources)

Electrocardiogram signal classification and machine learning = emerging research and opportunities / by: (Electronic resources)

Enhancing software fault prediction with machine learning = emerging research and opportunities / by: (Electronic resources)

Ubiquitous machine learning and its applications by: (Electronic resources)

Introduction to deep learning business applications for developers = from conversational bots in customer service to medical image processing / by: (Electronic resources)

Deep learning for image processing applications by: (Electronic resources)

Machine learning techniques for online social networks by: (Electronic resources)

Deep learning with PyTorch : = a practical approach to building neural network models using PyTorch / by: (Language materials, printed)

Applied analytics through case studies using SAS and R = implementing predictive models and machine learning techniques / by: (Electronic resources)

Uncertainty modelling in data science by: (Electronic resources)

Natural computing for unsupervised learning by: (Electronic resources)

Recent developments in machine learning and data analytics = IC3 2018 / by: (Electronic resources)

Machine learning in sports = identifying potential archers / by: (Electronic resources)

Multiview machine learning by: (Electronic resources)

Learning representation for multi-view data analysis = models and applications / by: (Electronic resources)

Machine learning risk assessments in criminal justice settings by: (Electronic resources)

Deep learning = convergence to big data analytics / by: (Electronic resources)

Intelligent random walk = an approach based on learning automata / by: (Electronic resources)

Learning automata approach for social networks by: (Electronic resources)

Machine learning paradigms = theory and application / by: (Electronic resources)

Compact and fast machine learning accelerator for IoT devices by: (Electronic resources)

Deep learning = fundamentals, theory and applications / by: (Electronic resources)

Beginning machine learning in iOS = CoreML framework / by: (Electronic resources)

Practical machine learning and image processing = for facial recognition, object detection, and pattern recognition using Python / by: (Electronic resources)

Data, engineering and applications.. Volume 1 by: (Electronic resources)

Cognitive computing recipes = artificial intelligence solutions using Microsoft cognitive services and Tensorflow / by: (Electronic resources)

Kernel methods and machine learning by: (Electronic resources)

Machine learning refined = foundations, algorithms, and applications / by: (Electronic resources)

Understanding machine learning = from theory to algorithms / by: (Electronic resources)

Next-generation wireless networks meet advanced machine learning applications by: (Electronic resources)

Machine learning and cognitive science applications in cyber security by: (Electronic resources)

Inference and learning systems for uncertain relational data by: (Electronic resources)

Lifelong machine learning by: (Electronic resources)

Predicting hotspots = using machine learning to understand civil conflict / by: (Electronic resources)

Deep learning with R by: (Electronic resources)

Data, engineering and applications.. Volume 2 by: (Electronic resources)

Automated machine learning = methods, systems, challenges / by: (Electronic resources)

Evolutionary learning = advances in theories and algorithms / by: (Electronic resources)

An introduction to machine learning by: (Electronic resources)

Dynamics on and of complex networks III = machine learning and statistical physics approaches / by: (Electronic resources)

Broad learning through fusions = an application on social networks / by: (Electronic resources)

Machine intelligence and signal analysis by: (Electronic resources)

Time-space, spiking neural networks and brain-inspired artificial intelligence by: (Electronic resources)

Bayesian optimization and data science by: (Electronic resources)

Advanced applied deep learning = convolutional neural networks and object detection / by: (Electronic resources)

Mastering machine learning with Python in six steps = a practical implementation guide to predictive data analytics using Python / by: (Electronic resources)

Machine learning paradigms = advances in learning analytics / by: (Electronic resources)

Deep learning classifiers with memristive networks = theory and applications / by: (Electronic resources)

Model selection and error estimation in a nutshell by: (Electronic resources)

Deep learning = algorithms and applications / by: (Electronic resources)

Deep learning = concepts and architectures / by: (Electronic resources)

Development and analysis of deep learning architectures by: (Electronic resources)

Deep learning techniques for music generation by: (Electronic resources)

Machine learning systems for multimodal affect recognition by: (Electronic resources)

Human centric visual analysis with deep learning by: (Electronic resources)

The NeurIPS '18 competition = from machine learning to intelligent conversations / by: (Electronic resources)

Deep learning techniques for biomedical and health informatics by: (Electronic resources)

Hands-on Scikit-Learn for machine learning applications = data science fundamentals with Python / by: (Electronic resources)

Industrial machine learning = using artificial intelligence as a transformational disruptor / by: (Electronic resources)

Machine learning with the Raspberry Pi = experiments with data and computer vision / by: (Electronic resources)

Learn TensorFlow 2.0 = implement machine learning and deep learning models with Python / by: (Electronic resources)

Deep learning pipeline = building a deep learning model with TensorFlow / by: (Electronic resources)

Practical machine learning with rust = creating intelligent applications in rust / by: (Electronic resources)

Deep learning in mining of visual content by: (Electronic resources)

Guide to deep learning basics = logical, historical and philosophical perspectives / by: (Electronic resources)

Deep learning-based approaches for sentiment analysis by: (Electronic resources)

Deep biometrics by: (Electronic resources)

Deep in-memory architectures for machine learning by: (Electronic resources)

Machine learning in team sports = performance analysis and talent identification in beach soccer and sepak-takraw / by: (Electronic resources)

Deep learning applications by: (Electronic resources)

Practical MATLAB deep learning = a project-based approach / by: (Electronic resources)

Next-generation machine learning with Spark = Covers XGBoost, LightGBM, Spark NLP, Distributed deep learning with Keras, and more / by: (Electronic resources)

Machine learning with health care perspective = machin learning and healthcare / by: (Electronic resources)

Machine learning for intelligent decision science by: (Electronic resources)

Implementations and applications of machine learning by: (Electronic resources)

Applications of machine learning by: (Electronic resources)

Advances in cybernetics, cognition, and machine learning for communication technologies by: (Electronic resources)

Inpainting and denoising challenges by: (Electronic resources)

Cause effect pairs in machine learning by: (Electronic resources)

Learning approaches in signal processing by: (Electronic resources)

Artificial intelligence and machine learning for digital pathology = state-of-the-art and future challenges / by: (Electronic resources)

The development of deep learning technologies = research on the development of electronic information engineering technology in China / by: (Electronic resources)

Embracing Industry 4.0 = selected articles from MUCET 2019 / by: (Electronic resources)

Machine learning paradigms = advances in deep learning-based technological applications / by: (Electronic resources)

Deep learning projects using TensorFlow 2 = neural network development with Python and Keras / by: (Electronic resources)

Deep learning through sparse and low-rank modeling by: (Electronic resources)

Bayesian reasoning and machine learning / by: (Language materials, printed)

Deep learning for medical decision support systems by: (Electronic resources)

A machine learning based pairs trading investment strategy by: (Electronic resources)

Machine learning algorithms for industrial applications by: (Electronic resources)

Cellular learning automata = theory and applications / by: (Electronic resources)

Deep learning for cancer diagnosis by: (Electronic resources)

Algorithmic governance and governance of algorithms = legal and ethical challenges / by: (Electronic resources)

The cultural life of machine learning = an incursion into critical AI studies / by: (Electronic resources)

Deep learning for hydrometeorology and environmental science by: (Electronic resources)

Adaptive approach to petroleum reservoir simulation by: (Electronic resources)

Hands-on question answering systems with BERT = applications in neural networks and natural language processing / by: (Electronic resources)

Deep learning with Swift for TensorFlow = differentiable programming with Swift / by: (Electronic resources)

Deep learning and physics by: (Electronic resources)

Trends of data science and applications = theory and practices / by: (Electronic resources)

Machine learning technologies and applications = proceedings of ICACECS 2020 / by: (Electronic resources)

Computer vision and machine learning in agriculture by: (Electronic resources)

Interpretable artificial intelligence = a perspective of granular computing / by: (Electronic resources)

Optinformatics in evolutionary learning and optimization by: (Electronic resources)

Recommender systems in fashion and retail by: (Electronic resources)

Provenance in data science = from data models to context-aware knowledge graphs / by: (Electronic resources)

Explainable AI with Python by: (Electronic resources)

Machine learning modeling for IoUT networks = internet of underwater things / by: (Electronic resources)

Variational methods for machine learning with applications to deep networks by: (Electronic resources)

Hardware-aware probabilistic machine learning models = learning, inference and use cases / by: (Electronic resources)

Advanced machine learning approaches in cancer prognosis = challenges and applications / by: (Electronic resources)

Transactional machine learning with data streams and AutoML = build frictionless and elastic machine learning solutions with Apache Kafka in the cloud using Python / by: (Electronic resources)

Implementing machine learning for finance = a systematic approach to predictive risk and performance analysis for investment portfolios / by: (Electronic resources)

Multi-objective machine learning / by: (Language materials, printed)

Automated design of machine learning and search algorithms by: (Electronic resources)

How algorithms create and prevent fake news = exploring the impacts of social media, deepfakes, GPT-3, and more / by: (Electronic resources)

Quantum machine learning = an applied approach : the theory and application of quantum machine learning in science and industry / by: (Electronic resources)

Efficacy analysis in clinical trials an update = efficacy analysis in an era of machine learning / by: (Electronic resources)

Adversarial and uncertain reasoning for adaptive cyber defense = control- and game-theoretic approaches to cyber security / by: (Electronic resources)

Explainable AI = interpreting, explaining and visualizing deep learning / by: (Electronic resources)

Transactions on large-scale data- and knowledge-centered systems XLV = special issue on data management and knowledge extraction in digital ecosystems / by: (Electronic resources)

Simulation and synthesis in medical imaging = 5th International Workshop, SASHIMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings / by: (Electronic resources)

Database systems for advanced applications = DASFAA 2020 International Workshops : BDMS, SeCoP, BDQM, GDMA, and AIDE, Jeju, South Korea, September 24-27, 2020 : proceedings / by: (Electronic resources)

Android malware detection using machine learning = data-driven fingerprinting and threat intelligence / by: (Electronic resources)

Vision, sensing and analytics = integrative approaches / by: (Electronic resources)

Federated learning systems = towards next-generation AI / by: (Electronic resources)

Advances in learning automata and intelligent optimization by: (Electronic resources)

Metaheuristics in machine learning = theory and applications / by: (Electronic resources)

Machine learning in elite volleyball = integrating performance analysis, competition and training strategies / by: (Electronic resources)

Machine learning for Oracle database professionals = deploying model-driven applications and automation pipelines / by: (Electronic resources)

Advanced forecasting with Python = with state-of-the-art-models including LSTMs, Facebook's Prophet, and Amazon's DeepAR / by: (Electronic resources)

Artificial neural networks for engineering applications by: (Electronic resources)

Supervised machine learning in wind forecasting and ramp event prediction by: (Electronic resources)

Advances in domain adaptation theory by: (Electronic resources)

Practical machine learning for data analysis using python by: (Electronic resources)

Deep learning and parallel computing environment for bioengineering by: (Electronic resources)

Handbook of research on disease prediction through data analytics and machine learning by: (Electronic resources)

Applications of advanced machine intelligence in computer vision and object recognition = emerging research and opportunities / by: (Electronic resources)

Handbook of research on machine and deep learning applications for cyber security by: (Electronic resources)

Handbook of research on emerging trends and applications of machine learning by: (Electronic resources)

Deep learning applications and intelligent decision making in engineering by: (Electronic resources)

Machine learning applications in non-conventional machining processes by: (Electronic resources)

Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering by: (Electronic resources)

Federated learning by: (Electronic resources)

Data orchestration in deep learning accelerators by: (Electronic resources)

Introduction to deep learning for engineers = using python and google cloud platform / by: (Electronic resources)

Multi-armed bandits = theory and applications to online learning in networks / by: (Electronic resources)

Machine learning for solar array monitoring, optimization, and control by: (Electronic resources)

Probabilistic approaches for social media analysis = data, community and influence / by: (Electronic resources)

The lognormality principle and its applications in e-security, e-learning and e-health by: (Electronic resources)

Reservoir computing = theory, physical implementations, and applications / by: (Electronic resources)

Deep learning-based face analytics by: (Electronic resources)

Deep learning and practice with MindSpore by: (Electronic resources)

Data science = theory, algorithms, and applications / by: (Electronic resources)

Machine Learning by: (Electronic resources)

State-of-the-art deep learning models in Tensorflow = modern machine learning in the Google colab ecosystem / by: (Electronic resources)

An introduction to machine learning by: (Electronic resources)

Computationally intensive statistics for intelligent IoT by: (Electronic resources)

Machine learning for engineers = using data to solve problems for physical systems / by: (Electronic resources)

Concepts and real-time applications of deep learning by: (Electronic resources)

Machine learning control by symbolic regression by: (Electronic resources)

Deep neural evolution = deep learning with evolutionary computation / by: (Electronic resources)

First-order and stochastic optimization methods for machine learning by: (Electronic resources)

Computer vision - ECCV 2020 = 16th European Conference, Glasgow, UK, August 23-28, 2020 : proceedings.. Part IV / by: (Electronic resources)

Computer vision - ECCV 2020 = 16th European Conference, Glasgow, UK, August 23-28, 2020 : proceedings.. Part V / by: (Electronic resources)

Transactions on large-scale data- and knowledge-centered systems XLIII by: (Electronic resources)

Artificial intelligence and security = 6th International Conference, ICAIS 2020, Hohhot, China, July 17-20, 2020 : proceedings.. Part I / by: (Electronic resources)

Machine learning in the oil and gas industry = including geosciences, reservoir engineering, and production engineering with Python / by: (Electronic resources)

Cybersecurity in digital transformation = scope and applications / by: (Electronic resources)

Machine learning for authorship attribution and cyber forensics by: (Electronic resources)

Data science solutions on Azure = tools and techniques using Databricks and MLOps / by: (Electronic resources)

Machine learning in medicine = a complete overview / by: (Electronic resources)

Machine learning in finance = from theory to practice / by: (Electronic resources)

The Effectiveness of Digital Forensics and Security Strategies in Using AI and Machine Learning to Protect Children Online. by: (Electronic resources)

Artificial intelligence with Power BI : = take your data analytics skills to the next level by leveraging the AI capabilities in Power BI / by: (Language materials, printed)

Deep learning with Python / by: (Language materials, printed)

Deep learning with R / by: (Language materials, printed)

Machine learning on geographical data using Python : = introduction into geodata with applications and use cases / by: (Language materials, printed)

AI for physics / by: (Language materials, printed)

Smart monitoring of rotating machinery for Industry 4.0 by: (Electronic resources)

Control charts and machine learning for anomaly detection in manufacturing by: (Electronic resources)

Application of soft computing, machine learning, deep learning and optimizations in geoengineering and geoscience by: (Electronic resources)

Sophisticated electromagnetic forward scattering solver via deep learning by: (Electronic resources)

Multivariate statistical machine learning methods for genomic prediction by: (Electronic resources)

Deep learning techniques for IOT security and privacy by: (Electronic resources)

Big data intelligence for smart applications by: (Electronic resources)

Computational and machine learning tools for archaeological site modeling by: (Electronic resources)

Practical AI for healthcare professionals = machine learning with Numpy, Scikit-learn, and TensorFlow / by: (Electronic resources)

Beginning deep learning with TensorFlow = work with Keras, MNIST data sets, and advanced neural networks / by: (Electronic resources)

Computational intelligence in recent communication networks by: (Electronic resources)

Advances in machine learning for big data analysis by: (Electronic resources)

AI for disease surveillance and pandemic intelligence = intelligent disease detection in action / by: (Electronic resources)

Applied deep learning with TensorFlow 2 = learn to implement advanced deep learning techniques with Python / by: (Electronic resources)

Machine learning for embedded system security by: (Electronic resources)

Data classification and incremental clustering in data mining and machine learning by: (Electronic resources)

Integrating meta-heuristics and machine learning for real-world optimization problems by: (Electronic resources)

Automated machine learning and meta-learning for multimedia by: (Electronic resources)

Deep learning approaches for spoken and natural language processing by: (Electronic resources)

Federated learning for wireless networks by: (Electronic resources)

Context-aware machine learning and mobile data analytics = automated rule-based services with intelligent decision-making / by: (Electronic resources)

Artificial intelligence and machine learning in public healthcare = opportunities and societal impact / by: (Electronic resources)

Productive and efficient data science with Python = with modularizing, memory profiles, and parallel/GPU processing / by: (Electronic resources)

Federated learning = a comprehensive overview of methods and applications / by: (Electronic resources)

Artificial intelligence for Cybersecurity by: (Electronic resources)

Machine learning for computer scientists and data analysts = from an applied perspective / by: (Electronic resources)

Applied machine learning for assisted living by: (Electronic resources)

Choice computing = machine learning and systemic economics for choosing / by: (Electronic resources)

Sub-Terahertz sensing technology for biomedical applications by: (Electronic resources)

Practical MATLAB deep learning = a projects-based approach / by: (Electronic resources)

Data analysis with machine learning for psychologists = crash course to learn Python 3 and machine learning in 10 hours / by: (Electronic resources)

Machine learning-augmented spectroscopies for intelligent materials design by: (Electronic resources)

Python for probability, statistics, and machine learning by: (Electronic resources)

Machine learning for practical decision making = a multidisciplinary perspective with applications from healthcare, engineering and business analytics / by: (Electronic resources)

Machine learning applied to composite materials by: (Electronic resources)

Drug design using machine learning / by: (Language materials, printed)

Demystifying big data, machine learning, and deep learning for healthcare analytics by: (Electronic resources)

Machine learning and the internet of medical things in healthcare by: (Electronic resources)

Big data analytics for intelligent healthcare management by: (Electronic resources)

Thinking machines = machine learning and its hardware implementation / by: (Electronic resources)

Principles and labs for deep learning by: (Electronic resources)

Machine learning, big data, and IoT for medical informatics by: (Electronic resources)

Deep learning techniques for biomedical and health informatics by: (Electronic resources)

Machine learning and data analytics for predicting, managing, and monitoring disease by: (Electronic resources)

Probabilistic foundations of statistical network analysis by: (Electronic resources)

Text mining with machine learning = principles and techniques / by: (Electronic resources)

Generalization with deep learning = for improvement on sensing capability / by: (Electronic resources)

Learning from data : = concepts, theory, and methods / by: (Language materials, printed)

Emerging IT/ICT and AI technologies affecting society by: (Electronic resources)

Improving classifier generalization = real-time machine learning based applications / by: (Electronic resources)

Federated and transfer learning by: (Electronic resources)

PyTorch recipes = a problem-solution approach to build, train and deploy neural network models / by: (Electronic resources)

Machine learning and deep learning in computational toxicology by: (Electronic resources)

Representation in machine learning by: (Electronic resources)

Novel financial applications of machine learning and deep learning = algorithms, product modeling, and applications / by: (Electronic resources)

Introduction to Unity ML-Agents = understand the interplay of neural networks and simulation space using the Unity ML-Agents Package / by: (Electronic resources)

Precision health and artificial intelligence = with privacy, ethics, bias, health equity, best practices, and case studies / by: (Electronic resources)

Security and privacy in federated learning by: (Electronic resources)

Evolutionary multi-task optimization = foundations and methodologies / by: (Electronic resources)

Machine learning and flow assurance in oil and gas production by: (Electronic resources)

Application of machine learning models in agricultural and meteorological sciences by: (Electronic resources)

Essentials of Excel VBA, Python, and R.. Volume II,. Financial derivatives, risk management and machine learning by: (Electronic resources)

Statistical methods for data analysis = with applications in particle physics / by: (Electronic resources)

An introduction to artificial psychology = application fuzzy set theory and deep machine learning in psychological research using R / by: (Electronic resources)

Machine learning and data science : = fundamentals and applications / by: (Language materials, printed)

Optimization and machine learning : = optimization for machine learning and machine learning for optimization / by: (Language materials, printed)

A guide to applied machine learning for biologists by: (Electronic resources)

Shallow and deep learning principles = scientific, philosophical, and logical perspectives / by: (Electronic resources)

Neural networks and deep learning = a textbook / by: (Electronic resources)

AI-ML for decision and risk analysis = challenges and opportunities for normative decision theory / by: (Electronic resources)

Multi-aspect learning = methods and applications / by: (Electronic resources)

Inductive biases in machine learning for robotics and control by: (Electronic resources)

Computer vision and machine learning in agriculture.. Volume 3 by: (Electronic resources)

Machine learning in molecular sciences by: (Electronic resources)

Machine learning for earth sciences = using Python to solve geological problems / by: (Electronic resources)

Innovations in machine and deep learning = case studies and applications / by: (Electronic resources)

Artificial intelligence and machine learning in healthcare by: (Electronic resources)

Deep learning on graphs by: (Electronic resources)

Machine learning for big data analyis by: (Electronic resources)

Artificial intelligence and internet of things for renewable energy systems by: (Electronic resources)

Behavior analysis with machine learning using R by: (Electronic resources)

Advances in deep learning applications for smart cities by: (Electronic resources)

Applications of machine learning and deep learning for privacy and cybersecurity by: (Electronic resources)

Rank-based methods for shrinkage and selection : = with application to machine learning / by: (Language materials, printed)

Machine learning methods for multi-omics data integration by: (Electronic resources)

Dirty data processing for machine learning by: (Electronic resources)

Algorithms in machine learning paradigms by: (Electronic resources)

Intelligent feature selection for machine learning using the dynamic wavelet fingerprint by: (Electronic resources)

Supervised and unsupervised learning for data science by: (Electronic resources)

Machine learning and data mining in aerospace technology by: (Electronic resources)

Nature-inspired computation in data mining and machine learning by: (Electronic resources)

Reinforcement learning of bimanual robot skills by: (Electronic resources)

Introduction to deep learning for healthcare by: (Electronic resources)

Genetic programming for production scheduling = an evolutionary learning approach / by: (Electronic resources)

Visual object tracking from correlation filter to deep learning by: (Electronic resources)

Linear algebra and optimization with applications to machine learning.. Volume II,. Fundamentals of optimization theory with applications to machine learning / by: (Language materials, printed)

3D point cloud analysis = traditional, deep learning, and explainable machine learning methods / by: (Electronic resources)

Harmonic and applied analysis = from radon transforms to machine learning / by: (Electronic resources)

Beginning Apache Spark 3 = with DataFrame, Spark SQL, structured streaming, and spark machine learning library / by: (Electronic resources)

Machine learning, deep learning, big data, and internet of things for healthcare / by: (Language materials, printed)

Computational biology and machine learning for metabolic engineering and synthetic biology / by: (Language materials, printed)

Handbook of big data analytics and forensics by: (Electronic resources)

Machine learning in industry by: (Electronic resources)

Smart machining systems = modelling, monitoring and informatics / by: (Electronic resources)

Advances in machine learning/deep learning-based technologies = selected papers in honour of Professor Nikolaos G. Bourbakis.. Vol. 2 / by: (Electronic resources)

Deep learning in data analytics = recent techniques, practices and applications / by: (Electronic resources)

Advances in intelligent systems research and innovation by: (Electronic resources)

The BOXES methodology second edition = black box control of ill-defined systems / by: (Electronic resources)

Machine learning and systems biology in genomics and health by: (Electronic resources)

Human perception of visual information = psychological and computational perspectives / by: (Electronic resources)

Machine learning = the basics / by: (Electronic resources)

Heterogeneous graph representation learning and applications by: (Electronic resources)

Machine learning for critical internet of medical things = applications and use cases / by: (Electronic resources)

Moving objects detection using machine learning by: (Electronic resources)

Federated learning for IoT applications by: (Electronic resources)

Machine learning in clinical neuroscience = foundations and applications / by: (Electronic resources)

Machine and deep learning in oncology, medical physics and radiology by: (Electronic resources)

Building an effective data science practice = a framework to bootstrap and manage a successful data science practice / by: (Electronic resources)

Data science solutions with Python = fast and scalable models using Keras, Pyspark Mllib, H2O, XGBoost, and scikit-Learn / by: (Electronic resources)

Construction of a concept of neuronal modeling by: (Electronic resources)

Metalearning = applications to automated machine learning and data mining / by: (Electronic resources)

Distributed machine learning and gradient optimization by: (Electronic resources)

On spatio-temporal data modelling and uncertainty quantification using machine learning and information theory by: (Electronic resources)

Artificial intelligence for 6G by: (Electronic resources)

Cyber-physical systems = intelligent models and algorithms / by: (Electronic resources)

Generative adversarial learning = architectures and applications / by: (Electronic resources)

Recent advances in internet of things and machine learning = real-world applications / by: (Electronic resources)

How fuzzy concepts contribute to machine learning by: (Electronic resources)

Computer vision and machine learning in agriculture.. Volume 2 by: (Electronic resources)

Five-layer intelligence of the machine brain = system modelling and simulation / by: (Electronic resources)

Data analytics in e-learning = approaches and applications / by: (Electronic resources)

A few things I know about her = a personally machine learning inspired approach to understand surrounding nature / by: (Electronic resources)

Machine learning for smart environments/cities = an IoT approach / by: (Electronic resources)

Machine learning for auditors = automating fraud investigations through artificial intelligence / by: (Electronic resources)

Hands-on machine learning with Python = implement neural network solutions with Scikit-learn and PyTorch / by: (Electronic resources)

Adaptive machine learning algorithms with Python = solve data analytics and machine learning problems on edge devices / by: (Electronic resources)

Information fusion = machine learning methods / by: (Electronic resources)

Visual question answering = from theory to application / by: (Electronic resources)

Computational intelligence techniques for green smart cities by: (Electronic resources)

Machine learning and non-volatile memories by: (Electronic resources)

Augmented intelligence in healthcare = a pragmatic and integrated analysis / by: (Electronic resources)

Modern approaches in machine learning & cognitive science = a walkthrough / by: (Electronic resources)

Handbook of machine learning applications for genomics by: (Electronic resources)

Computer vision projects with PyTorch = design and develop production-grade models / by: (Electronic resources)

Machine learning on geographical data using Python = introduction into geodata with applications and use cases / by: (Electronic resources)

Machine learning for cybersecurity = innovative deep learning solutions / by: (Electronic resources)

Federated learning over wireless edge networks by: (Electronic resources)

Signal processing and machine learning with applications by: (Electronic resources)

Machine learning techniques for smart city applications: trends and solutions by: (Electronic resources)

Econometrics with machine learning by: (Electronic resources)

Bringing machine learning to software-defined networks by: (Electronic resources)

Large-scale structure of the universe = cosmological simulations and machine learning / by: (Electronic resources)

Data mining and machine learning in high-performance sport = performance analysis of on-field and video assistant referees in European soccer leagues / by: (Electronic resources)

An introduction to pattern recognition and machine learning by: (Electronic resources)

Machine learning algorithms = adversarial robustness in signal processing / by: (Electronic resources)

Statistical inference and machine learning for big data by: (Electronic resources)

Machine learning and data analytics for solving business problems = methods, applications, and case studies / by: (Electronic resources)

Coherence = in signal processing and machine learning / by: (Electronic resources)

Iterative learning control for nonlinear time-delay system by: (Electronic resources)

Synthetic data for deep learning = generate synthetic data for decision making and applications with Python and R / by: (Electronic resources)

Human recognition in unconstrained environments = using computer vision, pattern recognition and machine learning methods for biometrics / by: (Electronic resources)

Deep learning for data analytics = foundations, biomedical applications, and challenges / by: (Electronic resources)

Machine learning for asset managers by: (Electronic resources)

Images as data for social science research = an introduction to convolutional neural nets for image classification / by: (Electronic resources)

Handbook of research on machine learning techniques for pattern recognition and information security by: (Electronic resources)

Machine learning and deep learning in computational toxicology / by: (Language materials, printed)

Blockchain, big data and machine learning = trends and applications / by: (Electronic resources)

Deep learning in computer vision = principles and applications / by: (Electronic resources)

Machine learning and its applications by: (Electronic resources)

Machine learning = a journey to deep learning : with exercises and answers / by: (Electronic resources)

Deep learning for EEG-based brain-computer interfaces = representations, algorithms and applications / by: (Electronic resources)

Intelligent security systems = how artificial intelligence, machine learning and data science work for and against computer security / by: (Electronic resources)

EEG signal processing and machine learning by: (Electronic resources)

Recurrent neural networks for prediction : = learning algorithms, architectures, and stability / by: (Language materials, printed)

Federated learning = fundamentals and advances / by: (Electronic resources)

Machine learning and artificial intelligence by: (Electronic resources)

Apply data science = introduction, applications and projects / by: (Electronic resources)

Concise guide to quantum machine learning by: (Electronic resources)

Estimating ore grade using evolutionary machine learning models by: (Electronic resources)

Machine learning and its application to reacting flows = ml and combustion / by: (Electronic resources)

Artificial intelligence and machine learning for healthcare.. Vol. 2,. Emerging methodologies and trends by: (Electronic resources)

Classification applications with deep learning and machine learning technologies by: (Electronic resources)

Applied Recommender Systems with Python = Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques / by: (Electronic resources)

Advanced data analytics using Python = with architectural patterns, text and image classification, and optimization techniques / by: (Electronic resources)

Beginner's guide to Streamlit with Python = build web-based data and machine learning applications / by: (Electronic resources)

Modern deep learning for tabular data = novel approaches to common modeling problems / by: (Electronic resources)

Pro deep learning with TensorFlow 2.0 = a mathematical approach to advanced artificial intelligence in Python / by: (Electronic resources)

Machine learning empowered intelligent data center networking = evolution, challenges and opportunities / by: (Electronic resources)

Advances in non-invasive biomedical signal sensing and processing with machine learning by: (Electronic resources)

Machine learning and mechanics based soft computing applications by: (Electronic resources)

Fusion of machine learning paradigms = theory and applications / by: (Electronic resources)

Embracing machines and humanity through cognitive computing and IoT by: (Electronic resources)

Thinking data science = a data science practitioner's guide / by: (Electronic resources)

Metaheuristics for machine learning = new advances and tools / by: (Electronic resources)

Machine learning support for fault diagnosis of System-on-Chip by: (Electronic resources)

Learning and robust control in quantum technology by: (Electronic resources)

Robust and multivariate statistical methods = festschrift in honor of David E. Tyler / by: (Electronic resources)

Nanophotonics and machine learning = concepts, fundamentals, and applications / by: (Electronic resources)

Machine learning for advanced functional materials by: (Electronic resources)

Machine learning and wireless communications by: (Electronic resources)

Personalized machine learning by: (Electronic resources)

Probabilistic topic models = foundation and application / by: (Electronic resources)

Introduction to datafication = implement datafication using AI and ML algorithms / by: (Electronic resources)

Machine learning with Python = theory and implementation / by: (Electronic resources)

Data science = an introduction to statistics and machine learning / by: (Electronic resources)

Machine learning and optimization techniques for automotive cyber-physical systems by: (Electronic resources)

Machine learning for data science handbook = data mining and knowledge discovery handbook / by: (Electronic resources)

Neuro symbolic reasoning and learning by: (Electronic resources)

Learning with the minimum description length principle by: (Electronic resources)

Computational methods for deep learning = theory, algorithms, and implementations / by: (Electronic resources)

Smart Grid 3.0 = computational and communication technologies / by: (Electronic resources)

Machine learning and the Internet of Things in education = models and applications / by: (Electronic resources)

Simulation and synthesis in medical imaging = 8th International Workshop, SASHIMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings / by: (Electronic resources)

Elements of data science, machine learning, and artificial intelligence using R by: (Electronic resources)

Machine learning in modeling and simulation = methods and applications / by: (Electronic resources)

Machine learning and metaheuristics = methods and analysis / by: (Electronic resources)

Active learning to minimize the possible risk of future epidemics by: (Electronic resources)

Machine learning for causal inference by: (Electronic resources)

Hybrid competitive learning method using the fireworks algorithm and artificial neural networks by: (Electronic resources)

Distributed machine learning with Pyspark = migrating effortlessly from Pandas and Scikit-Learn / by: (Electronic resources)

Machine learning in biological sciences = updates and future prospects / by: (Electronic resources)

Machine learning for text by: (Electronic resources)

Adversarial robustness for machine learning models by: (Electronic resources)

Meta learning with medical imaging and health informatics applications by: (Electronic resources)

Predictive analytics using statistics and big data = concepts and modeling / by: (Electronic resources)

Robot learning human skills and intelligent control design by: (Electronic resources)

Advanced AI techniques and applications in bioinformatics by: (Electronic resources)

Machine learning in cognitive IoT by: (Electronic resources)

Machine learning for risk calculations = a practitioner's view / by: (Electronic resources)

AI applications for disease diagnosis and treatment by: (Electronic resources)

Machine learning and AI techniques in interactive medical image analysis by: (Electronic resources)

Applications of computational science in artificial intelligence by: (Electronic resources)

Encyclopedia of data science and machine learning by: (Electronic resources)

Controlling epidemics with mathematical and machine learning models by: (Electronic resources)

Artificial intelligence and machine learning techniques for civil engineering by: (Electronic resources)

Learning genetic algorithms with Python = empower the performance of machine learning and AI models with the capabilities of a powerful search algorithm / by: (Electronic resources)

A practical approach for machine learning and deep learning algorithms = tools and techniques using MATLAB and Python / by: (Electronic resources)

Hands-on supervised learning with Python = learn how to solve machine learning problems with supervised learning algorithms using Python / by: (Electronic resources)

Data science for business professionals = a practical guide for beginners / by: (Electronic resources)

Machine learning for beginners = learn to build machine learning systems using Python / by: (Electronic resources)

Machine learning cookbook with Python = create ML and data analytics projects using some amazing open datasets / by: (Electronic resources)

Practical data science with Jupyter = explore data cleaning, pre-processing, data wrangling, feature engineering and machine learning using Python and Jupyter / by: (Electronic resources)

Applied machine learning solutions with Python = production-ready ML projects using cutting-edge libraries and powerful statistical techniques / by: (Electronic resources)

Applied learning algorithms for intelligent IoT by: (Electronic resources)

Introduction to machine learning / by: (Language materials, printed)

Practical deep learning : = a Python-based introduction / by: (Language materials, printed)

Probabilistic machine learning : = advanced topics / by: (Language materials, printed)

Probabilistic machine learning : = an introduction / by: (Language materials, printed)

Practical time series analysis : = prediction with statistics and machine learning / by: (Language materials, printed)

Handbook of evolutionary machine learning by: (Electronic resources)

Deep learning in smart eHealth systems = evaluation leveraging for Parkinson's disease / by: (Electronic resources)

Information-driven machine learning = data science as an engineering discipline / by: (Electronic resources)

Machine learning methods by: (Electronic resources)

Quantum machine learning = thinking and exploration in neural network models for quantum science and quantum computing / by: (Electronic resources)

Machine learning approaches for evaluating statistical information in the agricultural sector by: (Electronic resources)

MATLAB machine learning recipes = a problem-solution approach / by: (Electronic resources)

Unsupervised domain adaptation = recent advances and future perspectives / by: (Electronic resources)

Advanced machine learning with evolutionary and metaheuristic techniques by: (Electronic resources)

Machine learning assisted evolutionary multi- and many- objective optimization by: (Electronic resources)

From unimodal to multimodal machine learning = an overview / by: (Electronic resources)

Cracking the machine learning code = technicality or innovation? / by: (Electronic resources)

Recent advances in logo detection using machine learning paradigms = theory and practice / by: (Electronic resources)

Machine learning for materials discovery = numerical recipes and practical applications / by: (Electronic resources)

Unlocking artificial intelligence = from theory to applications / by: (Electronic resources)

Smart healthcare and machine learning by: (Electronic resources)

Transfer learning by: (Electronic resources)

Harnessing AI, machine learning, and IoT for intelligent business.. Volume 2 by: (Electronic resources)

Statistical machine learning for engineering with applications by: (Electronic resources)

Recent advances in machine learning techniques and sensor applications for human emotion, activity recognition and support by: (Electronic resources)

Reimagining transformative educational spaces = technological synergy for future education / by: (Electronic resources)

Towards heterogeneous multi-core systems-on-chip for edge machine learning = journey from single-core acceleration to multi-core heterogeneous systems / by: (Electronic resources)

Embedded machine learning for cyber-physical, iot, and edge computing = hardware architectures / by: (Electronic resources)

Embedded machine learning for cyber-physical, IoT, and edge computing = use cases and emerging challenges / by: (Electronic resources)

Embedded machine learning for cyber-physical, IOT, and edge computing = software optimizations and hardware/software codesign / by: (Electronic resources)

Machine learning-based design and optimization of high-speed circuits by: (Electronic resources)

Machine learning for decision makers = cognitive computing fundamentals for better decision making / by: (Electronic resources)

Beginning anomaly detection using python-based deep learning = implement anomaly detection applications with Keras and PyTorch / by: (Electronic resources)

Long-term structural health monitoring by remote sensing and advanced machine learning = a practical strategy via structural displacements from synthetic aperture radar images / by: (Electronic resources)

Online machine learning = a practical guide with examples in Python / by: (Electronic resources)

Learning techniques for the internet of things by: (Electronic resources)

Communication efficient federated learning for wireless networks by: (Electronic resources)

Intelligent human computer interaction = 15th International Conference, IHCI 2023, Daegu, South Korea, November 8-10, 2023 : revised selected papers.. Part II / by: (Electronic resources)

Machine learning in educational sciences = approaches, applications and advances / by: (Electronic resources)

Digital twin = architectures, networks, and applications / by: (Electronic resources)

Modern approaches in machine learning and cognitive science = a walkthrough.. Volume 4 / by: (Electronic resources)

Machine learning applications for intelligent energy management = invited chapters from experts on the energy field / by: (Electronic resources)

Data mining and machine learning in sports = success metrics for elite goalkeepers in European football leagues / by: (Electronic resources)

Adversarial multimedia forensics by: (Electronic resources)

Modeling visual aesthetics, emotion, and artistic style by: (Electronic resources)

Open-set text recognition = concepts, framework, and algorithms / by: (Electronic resources)

Robust machine learning = distributed methods for safe AI / by: (Electronic resources)

Accountable and explainable methods for complex reasoning over text by: (Electronic resources)

Intelligent robots and drones for precision agriculture by: (Electronic resources)

Machine learning for cyber physical system = advances and challenges / by: (Electronic resources)

Artificial intelligence and visualization = advancing visual knowledge discovery / by: (Electronic resources)

Data analytics and machine learning = navigating the big data landscape / by: (Electronic resources)

Distributed machine learning and computing = theory and applications / by: (Electronic resources)

Machine learning for econometrics and related topics by: (Electronic resources)

Probability and statistics for machine learning = a textbook / by: (Electronic resources)

Understanding atmospheric rivers using machine learning by: (Electronic resources)

Reduction, approximation, machine learning, surrogates, emulators and simulators = RAMSES / by: (Electronic resources)

MLOps with Ray = best practices and strategies for adopting machine learning operations / by: (Electronic resources)

Machine learning for network traffic and video quality analysis = develop and deploy applications using JavaScript and Node.js / by: (Electronic resources)

Deep learning = theory, architectures and applications in speech, image and language processing / by: (Electronic resources)

Quantum machine learning by: (Electronic resources)

Machine learning and deep learning techniques for medical science by: (Electronic resources)

Machine learning, deep learning, big data, and internet of things for healthcare by: (Electronic resources)

Deep learning for internet of things infrastructure by: (Electronic resources)

AI for physics by: (Electronic resources)

Introduction to machine learning with applications in information security by: (Electronic resources)

AI for healthcare robotics by: (Electronic resources)

Autonomous vehicles.. Volume 1,. Using machine intelligence by: (Electronic resources)

Applications of artificial neural networks and machine learning in civil engineering by: (Electronic resources)

Data-driven modelling and scientific machine learning in continuum physics by: (Electronic resources)

Artificial intelligence and machine learning with R = applications in the field of business analytics / by: (Electronic resources)

Sustainable IoT and data analytics enabled machine learning techniques and applications by: (Electronic resources)

Positioning and navigation using machine learning methods by: (Electronic resources)

Machine learning and granular computing = a synergistic design environment / by: (Electronic resources)

Geometric algebra applications.. Vol. III,. Integral transforms, machine learning, and quantum computing by: (Electronic resources)

Machine learning for real world applications by: (Electronic resources)

Large language models projects = apply and implement strategies for large language models / by: (Electronic resources)

Data engineering for machine learning pipelines = from Python libraries to ML pipelines and cloud platforms / by: (Electronic resources)

Machine learning and data sciences for financial markets = a guide to contemporary practices / by: (Electronic resources)

Machine learning for experiments in the social sciences by: (Electronic resources)

Machine learning and data science techniques for effective government service delivery by: (Electronic resources)

Advanced machine learning algorithms for complex financial applications by: (Electronic resources)

AI and machine learning impacts in intelligent supply chain by: (Electronic resources)

Using machine learning to detect emotions and predict human psychology by: (Electronic resources)

Applying machine learning techniques to bioinformatics = few-shot and zero-shot methods / by: (Electronic resources)

Advanced interdisciplinary applications of machine learning Python libraries for data science by: (Electronic resources)

Innovations in machine learning and IoT for water management by: (Electronic resources)

Applications of machine learning in UAV networks by: (Electronic resources)

Angular and deep learning = pocket primer / by: (Electronic resources)

Literary theory for robots : = how computers learned to write / by: (Language materials, printed)

IoT sensors, ML, AI and XAI = empowering a smarter world / by: (Electronic resources)

Shallow learning vs. deep learning = a practical guide for machine learning solutions / by: (Electronic resources)

Data science solutions on Azure = the rise of generative AI and applied AI / by: (Electronic resources)

Applied data science using PySpark = learn the end-to-end predictive model-building cycle / by: (Electronic resources)