Machine learning books

This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical...  Read More >>

The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues,...  Read More >>

This book presents frontier research on the use of computational methods to model complex interactions in economics...  Read More >>

This book constitutes the Third Diabetic Foot Ulcers Grand Challenge, DFUC 2022, which was held on September 2022,...  Read More >>

This book involves a collection of selected papers presented at International Conference on Machine Learning and...  Read More >>

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The second part of the work presents the search of the tH and ttH processes with the subsequent decays of the Higgs...  Read More >>

This book provides a collection of recent research works addressing theoretical issues on improving the learning...  Read More >>

Bayesian optimization is a methodology that has proven success in the sciences, engineering, and beyond for optimizing...  Read More >>

This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency,...  Read More >>

One of the major features is the case studies of applications of machine learning and deep learning in toxicological...  Read More >>

In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn...  Read More >>

This book aims at updating the relevant computer science-related research communities, including professors, researchers,...  Read More >>

This book constitutes the proceedings of the 37th International Conference, IVCNZ 2022, which took place in Auckland,...  Read More >>

This book discusses the applications, challenges, and future trends of machine learning in medical domain, including...  Read More >>

This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine...  Read More >>

This book constitutes the revised selected proceedings of Second International Symposium on Biomedical and Computational...  Read More >>

The book would provide an in-depth guide to the various techniques and methods used in preprocessing and preparing...  Read More >>

YOUR WORLD IS ABOUT TO CHANGE! The dawn of mainstream generative artificial intelligence (AI) is here, and pretty...  Read More >>

This book provides insights into deep learning techniques that impact the implementation strategies toward achieving...  Read More >>

This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health...  Read More >>

Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for...  Read More >>

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Machine learning is going to be something that you are going to use so that you can discover why and how you are...  Read More >>

This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops...  Read More >>