Machine learning books

This volumes presents the proceedings of the FASMI 2020 conference, held at Taipei Veterans General Hospital on...  Read More >>

This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization...  Read More >>

Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI...  Read More >>

Computational Methods and Deep Learning for Ophthalmology presents readers with the concepts and methods needed...  Read More >>

This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP)....  Read More >>

The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision,...  Read More >>

Solve SEO problems using data science. This hands-on book is packed with Python code and data science techniques...  Read More >>

As data is a predominant resource in applications, Riemannian geometry is a natural framework to model and unify...  Read More >>

An Introduction to the Machine Learning Empowered Intelligent Data Center Networking Fundamentals of Machine Learning...  Read More >>

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This book examines machine learning models including k-nearest neighbors, logistic regression, naive Bayes, random...  Read More >>

Deep Neural Networks (DNNs) have achieved a lot of success in the field of computer vision, speech recognition,...  Read More >>

Feature engineering is the most important step in creating powerful machine learning systems. This book will take...  Read More >>

This book is your guide to master deep learning with TensorFlow, with the help of 10 real-world projects. You will...  Read More >>

Are you looking to transform your business and stay ahead of the competition? Artificial Intelligence (AI) is the...  Read More >>

Get to grips with the essentials of deep learning by leveraging the power of Python About This Book • Your one-stop...  Read More >>

This book provides the intuition behind the state of the art Deep Learning architectures such as ResNet, DenseNet,...  Read More >>

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This book introduces novel approaches and practical examples  of autonomous nuclear power plants that minimize operator...  Read More >>

This textbook tackles the problem of formulating AI systems by combining probabilistic modeling and deep learning....  Read More >>

Focuses on learning vulnerabilities and cyber security. The book gives detail on the new threats and mitigation...  Read More >>

This book investigates both theory and various applications of predictive learning control (PLC) which is an advanced...  Read More >>

In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn...  Read More >>

In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn...  Read More >>

Hamiltonian Monte Carlo Methods in Machine Learning introduces methods for optimal tuning of HMC parameters, along...  Read More >>