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10338 books were found.
The two-volume set LNCS 14634 and 14635 constitutes the refereed proceedings of the 27th European Conference on... Read More >>
This open access book investigates the role played by identity of proofs in proof-theoretic semantics. It develops... Read More >>
The two-volume set CCIS 2061 and 2062 constitutes the refereed post-conference proceedings of the 18th International... Read More >>
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This book constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence in... Read More >>
This book constitutes the refereed post proceedings of the 17th Italian Workshop on Artificial Life and Evolutionary... Read More >>
This book deals with the upcoming threat that may be posed by quantum computers on modern-day security standards,... Read More >>
For more than 30 years, this comprehensive manual has been the standard introduction and complete reference for... Read More >>
This book constitutes the proceedings of the 21st International Conference on Comparative Genomics, RECOMB-CG 2024,... Read More >>
Design, build, and secure scalable machine learning (ML) systems to solve real-world business problems with Python... Read More >>
This book provides a comprehensive guide to Matlab, which stands as the cornerstone of modern education and is the... Read More >>
"This book provides a comprehensive presentation of a recently introduced framework, named ""probabilistic indexing""... Read More >>
This book constitutes the refereed proceedings of the Third International Joint Conference on Discrete Geometry... Read More >>
This open access book constitutes the proceedings of the 27th International Conference on Fundamental Approaches... Read More >>
This book provides a foundation in stochastic, linear, and mixed-integer programming algorithms with a focus on... Read More >>
Today, information technology plays a pivotal role in financial control and audit: most financial data is now digitally... Read More >>
Learn machine algorithms using deep machine learning techniques and methods with sample codes Read More >>
With this practical guide, data scientists and ML engineers will learn how to bridge the gap between data science... Read More >>
