Machine learning books

This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications....  Read More >>

The comparison and analysis between the three types of methods are given to help readers have a deeper understanding.With...  Read More >>

Explains the concepts and state-of-the-art research in the fields of NLP, speech, and computer vision. The book...  Read More >>

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Model-Based Reinforcement Learning Explore a comprehensive and practical approach to reinforcement learning Reinforcement...  Read More >>

The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the previous...  Read More >>

This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive...  Read More >>

This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive...  Read More >>

This book surveys current and future approaches to generating video game content with machine learning or Procedural...  Read More >>

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based...  Read More >>

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This book proposes tools for analysis of multidimensional and metric data, by establishing a state-of-the-art of...  Read More >>

This handbook discusses challenges and limitations in existing solutions, and presents state-of-the-art advances...  Read More >>

This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based...  Read More >>

It is divided into three main parts: The first part briefly discusses the fundamentals of FL for wireless networks,...  Read More >>

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This book builds upon the foundations established in its first edition, with updated chapters and the latest code...  Read More >>

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This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and...  Read More >>

Wineinformatics is a new data science application with a focus on understanding wine through artificial intelligence....  Read More >>

While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead,...  Read More >>

Deep learning is one of the most powerful tools in the modern artificial intelligence landscape. While having been...  Read More >>

The main objective of CI is to develop intelligent machines to provide solutions to real world problems, which are...  Read More >>

This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials...  Read More >>

This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does...  Read More >>