Machine learning books

This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end...  Read More >>

Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in...  Read More >>

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects...  Read More >>

The power of data drives the digital economy of the 21st century. It has been argued that data is as vital a resource...  Read More >>

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Unlock the Power of Parallel Python with Dask: A Perfect Learning Guide for Aspiring Data Scientists Dask has...  Read More >>

In diesem Buch wird erklärt, wie Sie die in Power BI Desktop geladenen Daten durch den Zugriff auf eine Reihe von...  Read More >>

The book features original papers from International Conference on Cryptology & Network Security with Machine Learning...  Read More >>

It introduces a Hebbian-LMS algorithm, an integration of unsupervised Hebbian learning and supervised LMS learning...  Read More >>

MACHINE AND DEEP LEARNING In-depth resource covering machine and deep learning methods using MATLAB tools and algorithms,...  Read More >>

The two-volume set LNCS 14348 and 14139 constitutes the proceedings of the 14th International Workshop on Machine...  Read More >>

The two-volume set LNCS 14348 and 14139 constitutes the proceedings of the 14th International Workshop on Machine...  Read More >>

This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community...  Read More >>

Specialty crops are defined as fruits and vegetables, tree nuts, dried fruits, horticulture, and nursery crops including...  Read More >>

This book constitutes the refereed proceedings of the 5th MICCAI Workshop on Domain Adaptation and Representation...  Read More >>

The symbiotic relationship between artificial Intelligence, supply chain and logistics transformed the way we are...  Read More >>

The book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications...  Read More >>

A robust and engaging account of the single greatest threat faced by AI and ML systems. In Not with a Bug, But with...  Read More >>

A robust and engaging account of the single greatest threat faced by AI and ML systems. In Not with a Bug, But with...  Read More >>

The first author of the book has won 5 championships and 5 runner-ups in domestic and international algorithm competitions.Firstly,...  Read More >>

This book has a multidisciplinary approach to Metaverse studies and the relevance of Metaverse with the current...  Read More >>

Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern...  Read More >>

This book describes new theories and applications of artificial neural networks, with a special focus on answering...  Read More >>

​This book presents and surveys normalization techniques with a deep analysis in training deep neural networks....  Read More >>

This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end...  Read More >>