Machine learning books

Reinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to...  Read More >>

This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep...  Read More >>

This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020...  Read More >>

The ultimate purpose of the research direction presented by this book is to build up a trustworthy media network...  Read More >>

The volume of data being collected in solar astronomy has exponentially increased over the past decade and we will...  Read More >>

"""If you want to learn some of the deeper explanations of deep learning and PyTorch then read this book!"" - Tiklu...  Read More >>

Machine Learning on Kubernetes guides you on how to implement the entire machine learning life cycle on the Kubernetes...  Read More >>

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged...  Read More >>

This is the first book focused entirely on deep learning theory. Tools from theoretical physics are borrowed and...  Read More >>

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This book presents the basics of both NAND flash storage and machine learning, detailing the storage problems the...  Read More >>

This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases,...  Read More >>

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There are several popular books published in Healthcare Computational Informatics like Computational Bioengineering...  Read More >>

This book presents the latest advances in computational intelligence and data analytics for sustainable future smart...  Read More >>

Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network...  Read More >>

This book discusses an interdisciplinary field which combines two major domains: healthcare and data analytics....  Read More >>

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This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting...  Read More >>

This book provides foundations for the understanding and design of computation-efficient algorithms and protocols...  Read More >>

This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy...  Read More >>

Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches brings together the fundamentals...  Read More >>

The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing...  Read More >>

This book presents recent improvements in peridynamic modeling of structures.  Read More >>

Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how...  Read More >>