Machine learning books

Deep reinforcement learning has attracted considerable attention recently. Biology has inspired the creation of...  Read More >>

Federated learning enables the distribution of the learning models across the devices and systems which perform...  Read More >>

This book highlights the connections between two technologies: artificial intelligence (AI) and Internet of things...  Read More >>

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An intuitive, accessible text explaining the fundamentals and applications of signal processing on graphs. It covers...  Read More >>

This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation,...  Read More >>

The book is written for newcomers to reinforcement learning who wish to write code for various applications, from...  Read More >>

This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation,...  Read More >>

Agricultural automation is the emerging technologies which heavily rely on computer-integrated management and advanced...  Read More >>

An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which...  Read More >>

This edited book provides information on emerging fields of next-generation healthcare informatics with a special...  Read More >>

This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems....  Read More >>

This SpringerBrief presents novel methods of approaching challenging problems in the reconstruction of accurate...  Read More >>

This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial...  Read More >>

Become proficient in using heuristics within the data science pipeline to produce higher quality results in less...  Read More >>

Chapters “No. 10 and No. 21” are available open access under a Creative Commons Attribution 4.0 International License...  Read More >>

This book explores the combination of Reinforcement Learning and Quantum Computing in the light of complex attacker-defender...  Read More >>

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This book describes the functions frequently used in deep neural networks.  Read More >>

This updated second edition describes the intuition behind deep learning innovations without jargon or complexity....  Read More >>

In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable,...  Read More >>

This book constitutes the refereed proceedings of the 6th International Symposium on Cyber Security Cryptography...  Read More >>

Offers a thorough consideration of the innovative and emerging research within the area of machine learning. The...  Read More >>

Offers a comprehensive and rigorous introduction to what Approximate Message Passing (AMP) can offer, as well as...  Read More >>