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)

Deep learning projects using TensorFlow 2neural network development with Python and Keras / 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)

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

Artificial intelligence and security6th International Conference, ICAIS 2020, Hohhot, China, July 17-20, 2020 : proceedings.Part I / by: (Electronic resources)

Artificial intelligence and security6th 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 fitnessa practical guide to machine learning with deep vision, sensors and IoT / by: (Electronic resources)

Active lighting and its application for computer vision40 years of history of active lighting techniques / by: (Electronic resources)

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

Artificial intelligence and security6th International Conference, ICAIS 2020, Hohhot, China, July 17-20, 2020 : proceedings.Part I / by: (Electronic resources)

Artificial intelligence and security6th International Conference, ICAIS 2020, Hohhot, China, July 17-20, 2020 : proceedings.Part II / by: (Electronic resources)

Artificial intelligence and security6th 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 stylometryauthorship attribution and author profiling / by: (Electronic resources)

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

Simulation and synthesis in medical imaging5th International Workshop, SASHIMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings / by: (Electronic resources)

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

Fundamentals of data analyticswith a view to machine learning / by: (Electronic resources)

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

Practical TensorFlow.jsdeep learning in web app development / by: (Electronic resources)

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

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

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

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

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

Explainable AIinterpreting, explaining and visualizing deep learning / by: (Electronic resources)

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

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

Computer vision - ECCV 202016th European Conference, Glasgow, UK, August 23-28, 2020 : proceedings.Part IV / by: (Electronic resources)

Computer vision - ECCV 202016th European Conference, Glasgow, UK, August 23-28, 2020 : proceedings.Part V / by: (Electronic resources)

Dual Learning by: (Electronic resources)

Federated learningprivacy and incentive / by: (Electronic resources)

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

Cybersecurity in digital transformationscope and applications / by: (Electronic resources)

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

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

Machine learning in medicinea complete overview / 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)

Machine learning in financefrom theory to practice / by: (Electronic resources)

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

Statistical learning with math and R :100 exercises for building logic / by: (Language materials, printed)

Machine learning :hands-on for developers and technical professionals / by: (Language materials, printed)

Medical risk prediction models :with ties to 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 automatatheory and applications / by: (Electronic resources)

Deep learning for cancer diagnosis by: (Electronic resources)

Algorithmic governance and governance of algorithmslegal and ethical challenges / by: (Electronic resources)

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

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

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

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

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

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

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

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

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

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

Computational methods for deep learningtheoretic, practice and applications / by: (Electronic resources)

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

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

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

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

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

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

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

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

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

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

Programming with TensorFlowsolution 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 brainvision, touch & mind / by: (Electronic resources)

Machine learning for intelligent multimedia analyticstechniques and applications / by: (Electronic resources)

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

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

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

Deep learning with Swift for TensorFlowdifferentiable programming with Swift / by: (Electronic resources)

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

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

Explainable AI with Python by: (Electronic resources)

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

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

Machine learning for robotics applications by: (Electronic resources)

Modern approaches in machine learning and cognitive sciencea 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 Pythondesign, develop, and validate online learning models / by: (Electronic resources)

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

Machine learning modeling for IoUT networksinternet of underwater things / by: (Electronic resources)

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

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

Advanced machine learning approaches in cancer prognosischallenges and applications / by: (Electronic resources)

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

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

Social big data analyticspractices, tchniques, and applications / by: (Electronic resources)

Artificial intelligence for materials science by: (Electronic resources)

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

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

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

Trends of data science and applicationstheory and practices / by: (Electronic resources)

Machine learning technologies and applicationsproceedings of ICACECS 2020 / by: (Electronic resources)

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

Interpretable artificial intelligencea 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)

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

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

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

Hands-on machine learning with ML.NET :getting started with Microsoft's ML.NET to implement popular machine learning algorithms in C# / by: (Language materials, printed)

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

Data Science and Internet of Thingsresearch 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 foundationssupervised, unsupervised, and advanced learning / by: (Electronic resources)

AI and machine learning paradigms for health monitoring systemintelligent 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)

Deep learning and physics by: (Electronic resources)

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

Data science revealedwith feature engineering, data visualization, pipeline development, and hyperparameter tuning / 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)

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

Synthetic data for deep learning by: (Electronic resources)

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

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

Vision, sensing and analyticsintegrative approaches / by: (Electronic resources)

Federated learning systemstowards next-generation AI / by: (Electronic resources)

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

Metaheuristics in machine learningtheory and applications / by: (Electronic resources)

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

Representation learningpropositionalization and embeddings / by: (Electronic resources)

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

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

Federated learning by: (Electronic resources)

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

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

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

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

Machine learning applications for accounting disclosure and fraud detection 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 recognitionemerging 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)

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)

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

Advanced deep learning for engineers and scientistsa 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)

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

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

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

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

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

Machine learning for iOS developers by: (Electronic resources)

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

Reservoir computingtheory, 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 sciencetheory, algorithms, and applications / by: (Electronic resources)

Machine Learning by: (Electronic resources)

Deep learning in computational mechanicsan introductory course / by: (Electronic resources)

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

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

An introduction to machine learning by: (Electronic resources)

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

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

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

Deep learning for unmanned systems by: (Electronic resources)

Multi-faceted deep learningmodels and data / by: (Electronic resources)

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

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

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

Machine learning with quantum computers by: (Electronic resources)

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

Harmonic and applied analysisfrom radon transforms to machine learning / by: (Electronic resources)

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

Genetic programming for production schedulingan evolutionary learning approach / by: (Electronic resources)

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

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

Applied deep learning and computer vision for self-driving cars :build autonomous vehicles using deep neural networks and behavior-cloning techniques / by: (Language materials, printed)

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 analyticsautomated rule-based services with intelligent decision-making / by: (Electronic resources)

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

Empowering artificial intelligence through machine learning :new advances and applications / by: (Language materials, printed)

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

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

Machine learning in industry by: (Electronic resources)

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)

Smart machining systemsmodelling, monitoring and informatics / by: (Electronic resources)

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

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

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

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

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

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

Human perception of visual informationpsychological and computational perspectives / by: (Electronic resources)

Machine learningthe basics / by: (Electronic resources)

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

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

Moving objects detection using machine learning 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)

Federated learning for IoT applications by: (Electronic resources)

Machine learning in clinical neurosciencefoundations and applications / by: (Electronic resources)

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

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

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

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

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

Information fusionmachine learning methods / by: (Electronic resources)

Visual question answeringfrom theory to application / by: (Electronic resources)

Computational intelligence techniques for green smart cities 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)

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

Augmented intelligence in healthcarea pragmatic and integrated analysis / by: (Electronic resources)

Modern approaches in machine learning & cognitive sciencea walkthrough / by: (Electronic resources)

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

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

Metalearningapplications 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 systemsintelligent models and algorithms / by: (Electronic resources)

Generative adversarial learningarchitectures and applications / by: (Electronic resources)

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

How fuzzy concepts contribute to machine learning 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 intelligenceintelligent disease detection in action / by: (Electronic resources)

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

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

Data analytics in e-learningapproaches and applications / by: (Electronic resources)

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

Machine learning for smart environments/citiesan IoT approach / by: (Electronic resources)

Machine learning for auditorsautomating fraud investigations through artificial intelligence / by: (Electronic resources)

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

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

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

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)

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

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

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

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

Thinking machinesmachine 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)

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

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

Machine learning for asset managers by: (Electronic resources)

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

Machine learning and wireless communications by: (Electronic resources)

Personalized machine learning by: (Electronic resources)

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

Blockchain, big data and machine learningtrends and applications / by: (Electronic resources)

Text mining with machine learningprinciples and techniques / by: (Electronic resources)

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

Machine learning and its applications by: (Electronic resources)

Generalization with deep learningfor improvement on sensing capability / by: (Electronic resources)

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

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

Intelligent security systemshow 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)

Federated learninga comprehensive overview of methods and applications / by: (Electronic resources)

Artificial intelligence for Cybersecurity by: (Electronic resources)

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

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

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

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

Choice computingmachine learning and systemic economics for choosing / by: (Electronic resources)

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

Machine learning for cybersecurityinnovative 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)

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

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

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

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

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

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

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

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

Machine learning algorithmsadversarial robustness in signal processing / by: (Electronic resources)

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

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

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

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

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

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

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

Python for probability, statistics, and machine learning / by: (Language materials, printed)

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

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

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

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

Representation in machine learning by: (Electronic resources)

Machine learning empowered intelligent data center networkingevolution, 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)

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

Fusion of machine learning paradigmstheory and applications / by: (Electronic resources)

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

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

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

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

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

Learning genetic algorithms with Pythonempower 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 algorithmstools and techniques using MATLAB and Python / by: (Electronic resources)

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

Data science for business professionalsa practical guide for beginners / by: (Electronic resources)

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

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

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

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

Deep learning on graphs by: (Electronic resources)

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

Metaheuristics for machine learningnew advances and tools / by: (Electronic resources)

Evolutionary multi-task optimizationfoundations and methodologies / by: (Electronic resources)

Machine learning and flow assurance in oil and gas production 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)

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)

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

Nanophotonics and machine learningconcepts, fundamentals, and applications / by: (Electronic resources)

Statistical methods for data analysiswith applications in particle physics / 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)

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)

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)

Federated learningfundamentals and advances / by: (Electronic resources)

Machine learning and artificial intelligence by: (Electronic resources)

Apply data scienceintroduction, 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 flowsml and combustion / by: (Electronic resources)

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

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

Improving classifier generalizationreal-time machine learning based applications / by: (Electronic resources)

Federated and transfer learning by: (Electronic resources)

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

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

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

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

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

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

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

Machine learning in biological sciencesupdates 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)

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

Probabilistic topic modelsfoundation and application / by: (Electronic resources)

Shallow and deep learning principlesscientific, philosophical, and logical perspectives / by: (Electronic resources)

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

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

Data sciencean 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 handbookdata mining and knowledge discovery handbook / by: (Electronic resources)

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

Machine learning with Pythontheory and implementation / by: (Electronic resources)

Multi-aspect learningmethods 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)

Predictive analytics using statistics and big dataconcepts and modeling / 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)

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 calculationsa practitioner's view / by: (Electronic resources)

Machine learning in molecular sciences 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 learningtheory, algorithms, and implementations / by: (Electronic resources)

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

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

Innovations in machine and deep learningcase studies and applications / by: (Electronic resources)

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

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

Simulation and synthesis in medical imaging8th 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 simulationmethods and applications / by: (Electronic resources)

Machine learning and metaheuristicsmethods and analysis / by: (Electronic resources)

More than a chatbotlanguage models demystified / by: (Electronic resources)

AI embedded assurance for cyber systems by: (Electronic resources)

Machine learning and optimization for engineering design by: (Electronic resources)

Chatgpt for beginnersfeatures, foundations, and applications / 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 Pysparkmigrating effortlessly from Pandas and Scikit-Learn / by: (Electronic resources)