Machine learning.

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

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

Advances in kernel methods :support vector learning / by: (Language materials, printed)

Learning Bayesian networks / by: (Language materials, printed)

An introduction to support vector machines :and other kernel-based learning methods / by: (Language materials, printed)

Machine learning and data mining :methods and applications / by: (Language materials, printed)

Recurrent neural networks for prediction :learning algorithms, architectures, and stability / by: (Electronic resources)

Adaptive blind signal and image processinglearning algorithms and applications / by: (Electronic resources)

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

An introduction to computational learning theory / by: (Language materials, printed)

Concept data analysis :theory and applications / by: (Language materials, printed)

Handbook of learning and approximate dynamic programming / by: (Language materials, printed)

Machine learning and robot perception / by: (Language materials, printed)

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

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

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

Learning, networks and statistics / by: (Language materials, printed)

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

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

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

Advances in minimum description length :theory and applications / by: (Language materials, printed)

Machine learning and data mining for computer security :methods and applications / by: (Language materials, printed)

Evolvable machines :theory & practice / by: (Language materials, printed)

Advances in large margin classifiers / by: (Language materials, printed)

Computational methods of feature selection / by: (Language materials, printed)

Learning from data :concepts, theory, and methods / by: (Electronic resources)

Machine Learning for Audio, Image and Video Analysis :Theory and Applications / by: (Electronic resources)

Rule Extraction from Support Vector Machines / by: (Electronic resources)

Machine Learning in Document Analysis and Recognition / by: (Electronic resources)

Machine Learning Techniques for Multimedia :Case Studies on Organization and Retrieval / by: (Electronic resources)

Data Analysis, Machine Learning and ApplicationsProceedings of the 31st Annual Conference of the Gesellschaft fur Klassifikation e.V., Albert-Ludwigs-Universitat Freiburg, March 7-9, 2007 / by: (Electronic resources)

Support Vector MachinesTheory and Applications / by: (Electronic resources)

Foundations of Learning Classifier Systems by: (Electronic resources)

Machine Learning and Robot Perception by: (Electronic resources)

Bayesian networks and decision graphs / by: (Language materials, printed)

Design and Analysis of Learning Classifier SystemsA Probabilistic Approach / by: (Electronic resources)

Kernel methods for pattern analysis by: (Electronic resources)

Advances in machine learning applications in software engineering by: (Electronic resources)

Predicting structured data by: (Language materials, printed)

Support vector machines by: (Language materials, printed)

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

Machine learningmodeling data locally and globally / 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)

Advances in kernel methods :support vector learning / by: (Language materials, printed)

Machine learning and data mining :methods and applications / by: (Language materials, printed)

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

Machine learning and data mining :introduction to principles and algorithms / by: (Language materials, printed)

Metalearningapplications to data mining / by: (Electronic resources)

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

Machine learning in cyber trustsecurity, privacy, and reliability / by: (Electronic resources)

Machine learning methods for commonsense reasoning processes :interactive models / by: (Language materials, printed)

Principles and theory for data mining and machine learning by: (Electronic resources)

Applied genetic programming and machine learning / by: (Language materials, printed)

Enhancing computer security with smart technology / by: (Language materials, printed)

Dataset shift in machine learning / by: (Language materials, printed)

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

Hierarchical decomposition in reinforcement learning / by: (Language materials, printed)

Advances in machine learning Idedicated to the memory of Professor Ryszard S. Michalski / by: (Electronic resources)

Advances in machine learning IIdedicated to the memory of Professor Ryszard S. Michalski / by: (Electronic resources)

From motor learning to interaction learning in robots by: (Electronic resources)

Semantic labeling of places with mobile robots by: (Electronic resources)

Foundations of inductive logic programming by: (Electronic resources)

Learning automata and stochastic optimization by: (Electronic resources)

Learning classifier systemsfrom foundations to applications / by: (Electronic resources)

Machine learning and its applicationsadvanced lectures / by: (Electronic resources)

Sequence learningparadigms, algorithms, and applications / by: (Electronic resources)

Approximation methods for efficient learning of Bayesian networks by: (Electronic resources)

An inductive logic programming approach to statistical relational learning by: (Electronic resources)

Information theoretic learningRenyi's entropy and kernel perspectives / by: (Electronic resources)

Support vector machines for pattern classification by: (Electronic resources)

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

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

Knowledge discovery from data streams by: (Electronic resources)

Robot intelligencean advanced knowledge processing approach / by: (Electronic resources)

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

Advanced mapping of environmental data :geostatistics, machine learning, and Bayesian maximum entropy / by: (Language materials, printed)

Machine learning methods in the environmental sciences :neural networks and kernels / by: (Language materials, printed)

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

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

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

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

Machine learning techniques for adaptive multimedia retrieval :technologies, applications, and perspectives / by: (Language materials, printed)

Demand-driven associative classification by: (Electronic resources)

Combinatorial machine learninga rough set approach / by: (Electronic resources)

Ensembles in machine learning applications by: (Electronic resources)

Scalable fuzzy algorithms for data management and analysismethods and design / by: (Electronic resources)

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

Computational modeling and simulation of intellectcurrent state and future perspectives / by: (Electronic resources)

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

Biomedical image analysis and machine learning technologiesapplications and techniques / by: (Electronic resources)

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

Ensemble machine learningmethods and applications / by: (Electronic resources)

The BOXES methodologyblack box dynamic control / by: (Electronic resources)

Learning in non-stationary environmentsmethods and applications / by: (Electronic resources)

Inductive logic programming21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011 : revised selected papers / by: (Electronic resources)

Self-evolvable systemsmachine learning in social media / by: (Electronic resources)

Applied genetic programming and machine learning by: (Electronic resources)

Machine learning approaches to bioinformatics by: (Electronic resources)

Machine interpretation of patternsimage analysis and data mining / by: (Electronic resources)

Pattern classification using ensemble methods by: (Electronic resources)

Intelligent data analysis for real-life applicationstheory and practice / by: (Electronic resources)

Machine learning algorithms for problem solving in computational applicationsintelligent techniques / by: (Electronic resources)

Machine learning in computer-aided diagnosismedical imaging intelligence and analysis / by: (Electronic resources)

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

Foundations of rule learning by: (Electronic resources)

Scientific data mining and knowledge discoveryprinciples 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 analysistheory and practice / by: (Electronic resources)

Machine Learning for Financial Engineering by: (Electronic resources)

Bayesian artificial intelligence by: (Electronic resources)

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

Reasoning with probabilistic and deterministic graphical models :exact algorithms / by: (Language materials, printed)

Optimal learning / 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)

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

Hybrid classifiersmethods of data, knowledge, and classifier combination / 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 techniquesevolutionary 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)

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

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

Machine learning and knowledge discovery for engineering systems health management by: (Electronic resources)

Data mining and machine learning in cybersecurity by: (Electronic resources)

Instance-specific algorithm configuration by: (Electronic resources)

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

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

Intelligent methods for cyber warfare by: (Electronic resources)

Shape understanding systemmachine understanding and human understanding / by: (Electronic resources)

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

Algorithms for reinforcement learning by: (Electronic resources)

Machine learning in medicinea complete overview / by: (Electronic resources)

Data mining with decision treestheory and applications / by: (Electronic resources)

Efficient learning machinestheories, 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 systemsfrom data streams to knowledge in real-time / by: (Electronic resources)

Multi-agent machine learninga reinforcement approach / by: (Electronic resources)

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

Quantum machine learningwhat quantum computing means to data mining / by: (Electronic resources)

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

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

Iterative learning control for electrical stimulation and stroke rehabilitation by: (Electronic resources)

Machine learning paradigmsapplications in recommender systems / by: (Electronic resources)

Machine learning in radiation oncologytheory and applications / by: (Electronic resources)

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

An introduction to machine learning by: (Electronic resources)

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

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

Measures of complexityfestschrift for Alexey Chervonenkis / by: (Electronic resources)

Mathematical problems in data sciencetheoretical and practical methods / by: (Electronic resources)

Data mining with decision trees :theory and applications / by: (Language materials, printed)

Multi-label dimensionality reduction / by: (Language materials, printed)

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

Teaching learning based optimization algorithmand its engineering applications / by: (Electronic resources)

Rule based systems for big dataa machine learning approach / by: (Electronic resources)

Machine intelligence and signal processing by: (Electronic resources)

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

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

Human activity recognition and prediction by: (Electronic resources)

Machine learning in complex networks by: (Electronic resources)

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

Advances in machine learning and data mining for astronomy by: (Electronic resources)

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

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

Unsupervised learning algorithms by: (Electronic resources)

From curve fitting to machine learningan 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 for microbial phenotype prediction by: (Electronic resources)

Instruction selectionprinciples, methods, and applications / by: (Electronic resources)

Machine learninga Bayesian and optimization perspective / by: (Electronic resources)

Machine learning in Pythonessential techniques for predictive analysis / by: (Electronic resources)

Machine learninghands-on for developers and technical professionals / by: (Electronic resources)

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

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

Multiple instance learningfoundations and algorithms / by: (Electronic resources)

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

Deep learning neural networks :design and case studies / by: (Language materials, printed)

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)

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

Visual attributes by: (Electronic resources)

Time-series prediction and applicationsa machine intelligence approach / by: (Electronic resources)

Reverse hypothesis machine learninga practitioner's perspective / by: (Electronic resources)

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

Roadside video data analysisdeep learning / by: (Electronic resources)

Deep learning with Pythona hands-on introduction / by: (Electronic resources)

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

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

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

Robot learning from human teachers by: (Electronic resources)

Beginning artificial intelligence with the Raspberry Pi by: (Electronic resources)

MATLAB deep learningwith machine learning, neural networks and artificial intelligence / by: (Electronic resources)

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

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)

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

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

Data science algorithms in a week :data analysis, machine learning, and more / by: (Language materials, printed)

Machine learning algorithms :reference guide for popular algorithms for data science and machine learning / by: (Language materials, printed)

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

Introduction to deep learning :from logical calculus to artificial intelligence / by: (Language materials, printed)

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

Ubiquitous machine learning and its applications / by: (Language materials, printed)

Machine learning for text / by: (Language materials, printed)

Machine learning with R by: (Electronic resources)

Machine learning and cognition in enterprisesbusiness intelligence transformed / by: (Electronic resources)

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

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

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

Machine learning for decision makerscognitive computing fundamentals for better decision making / by: (Electronic resources)

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

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

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

Kinesthetic perceptiona machine learning approach / by: (Electronic resources)

Granular computing based machine learninga big data processing 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 Pythona problem-solver's guide to building real-world intelligent systems / by: (Electronic resources)

Oracle business intelligence with machine learningartificial 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 learningfrom logical calculus to artificial intelligence / by: (Electronic resources)

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

Electrocardiogram signal classification and machine learningemerging research and opportunities / by: (Electronic resources)

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

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

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

Machine learning for text by: (Electronic resources)

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

Learning systemsfrom theory to practice / by: (Electronic resources)

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

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

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

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

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

Network anomaly detectiona machine learning perspective / by: (Electronic resources)

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

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

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

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

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

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

Evolutionary approach to machine learning and deep neural networksneuro-evolution and gene regulatory networks / by: (Electronic resources)

Pro machine learning algorithmsa hands-on approach to implementing algorithms in Python and R / by: (Electronic resources)

Pathological brain detection by: (Electronic resources)

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

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

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

Neural networks and deep learninga textbook / by: (Electronic resources)

Supervised learning with quantum computers by: (Electronic resources)

IoT, AI, and blockchain for .NETbuilding a next-generation application from the ground up / by: (Electronic resources)

Applied deep learninga case-based approach to understanding deep neural networks / by: (Electronic resources)

Network intrusion detection using deep learninga feature learning approach / by: (Electronic resources)

The NIPS '17 competitionbuilding intelligent systems / by: (Electronic resources)

Tree-based convolutional neural networksprinciples and applications / by: (Electronic resources)

Applied natural language processing with Pythonimplementing machine learning and deep learning algorithms for natural language processing / by: (Electronic resources)

Machine learning for ecology and sustainable natural resource management by: (Electronic resources)

Learning from imbalanced data sets by: (Electronic resources)

Towards extensible and adaptable methods in computing by: (Electronic resources)

Practical Java machine learningprojects with Google Cloud platform and Amazon web services / by: (Electronic resources)

Practical computer vision applications using deep learning with CNNswith detailed examples in Python using TensorFlow and Kivy / by: (Electronic resources)

Explainable and interpretable models in computer vision and machine learning by: (Electronic resources)

Distributed optimization and statistical learning via the alternating direction method of multipliers / by: (Language materials, printed)

Big data and machine learning in quantitative investment / by: (Language materials, printed)

Machine learning :a concise introduction / by: (Language materials, printed)

Machine learning :a practical approach on the statistical learning theory / 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)

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

Uncertainty modelling in data science by: (Electronic resources)

Learning from data streams in evolving environmentsmethods and applications / by: (Electronic resources)

Machine learning paradigmsadvances in data analytics / by: (Electronic resources)

Data science in practice by: (Electronic resources)

Recent developments in machine learning and data analyticsIC3 2018 / by: (Electronic resources)

Machine learning in sportsidentifying potential archers / by: (Electronic resources)

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

PyTorch recipesa problem-solution approach / by: (Electronic resources)

MATLAB machine learning recipesa problem-solution approach / by: (Electronic resources)

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

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

Natural computing for unsupervised learning by: (Electronic resources)

Deep learningfundamentals, theory and applications / by: (Electronic resources)

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

Beginning machine learning in iOSCoreML framework / by: (Electronic resources)

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

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

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

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

Multiview machine learning by: (Electronic resources)

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

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

Deep learningconvergence to big data analytics / by: (Electronic resources)

Intelligent random walkan approach based on learning automata / by: (Electronic resources)

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

Machine learning paradigmstheory and application / by: (Electronic resources)

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

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

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

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

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

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

Deep learning with R by: (Electronic resources)

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

Kernel methods and machine learning by: (Electronic resources)

Machine learning refinedfoundations, algorithms, and applications / by: (Electronic resources)

Understanding machine learningfrom theory to algorithms / by: (Electronic resources)

Automated machine learningmethods, systems, challenges / by: (Electronic resources)

Evolutionary learningadvances in theories and algorithms / by: (Electronic resources)

An introduction to machine learning by: (Electronic resources)

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

Lifelong machine learning by: (Electronic resources)

Predicting hotspotsusing machine learning to understand civil conflict / by: (Electronic resources)

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

Machine learning techniques for improved business analytics 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)

Broad learning through fusionsan application on social networks / by: (Electronic resources)

Machine learning paradigmsapplications of learning and analytics in intelligent systems / by: (Electronic resources)

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

Machine intelligence and signal analysis by: (Electronic resources)

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

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

Applied machine learning by: (Electronic resources)

Artificial intelligence basicsa non-technical introduction / by: (Electronic resources)

Bayesian optimization and data science by: (Electronic resources)

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

Advanced applied deep learningconvolutional neural networks and object detection / by: (Electronic resources)

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

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

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

Inpainting and denoising challenges by: (Electronic resources)

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

Source separation and machine learning / by: (Language materials, printed)

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

Statistics for machine learning :techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R / by: (Language materials, printed)

Machine learning :a probabilistic perspective / by: (Language materials, printed)

Machine learning :a constraint-based approach / by: (Language materials, printed)

Phase transitions in machine learning / by: (Language materials, printed)

Machine learning mathematics :study deep learning through data science : how to build artificial intelligence through concepts of statistics, algorithms, analysis, and data mining / by: (Language materials, printed)

Unsupervised learning in space and timea modern approach for computer vision using graph-based techniques and deep neural networks / 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)

Machine learning with health care perspectivemachin learning and healthcare / by: (Electronic resources)

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

Feature learning and understandingalgorithms and applications / by: (Electronic resources)

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

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

Pattern recognition applications and methods8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019 : revised selected papers / 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)

Data sciencefrom research to application / by: (Electronic resources)

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

Automated software engineeringa deep learning-based approach / by: (Electronic resources)

Tensor network contractionsmethods and applications to quantum many-body systems / 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 competitionfrom machine learning to intelligent conversations / by: (Electronic resources)

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

Deep learning in healthcareparadigms and applications / by: (Electronic resources)

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

Industrial machine learningusing artificial intelligence as a transformational disruptor / by: (Electronic resources)

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

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

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

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

Deep learning applications by: (Electronic resources)

Practical MATLAB deep learninga project-based approach / by: (Electronic resources)

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

Machine learning in aquaculturehunger 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)

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

Deep learning pipelinebuilding a deep learning model with TensorFlow / by: (Electronic resources)

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

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

Deep learningalgorithms and applications / by: (Electronic resources)

Deep learningconcepts and architectures / by: (Electronic resources)

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

Model selection and error estimation in a nutshell 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 paradigmsadvances in learning analytics / by: (Electronic resources)

Deep learning classifiers with memristive networkstheory and applications / 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)

Deep neural evolutiondeep learning with evolutionary computation / 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)

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

Data analysis for direct numerical simulations of turbulent combustionfrom 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 agriculturewith Raspberry Pi and Arduino Using Python / by: (Electronic resources)

On the path to AILaw's prophecies and the conceptual foundations of the machine learning age / 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)

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

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

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

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

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

Learning approaches in signal processing by: (Electronic resources)

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

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

Machine learning paradigmsadvances in deep learning-based technological applications / by: (Electronic resources)

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