Foundations of Machine Learning, Second Edition
Компьютерная литература / Программирование
Основная информация:
Название: Foundations of Machine Learning, Second Edition
Жанр: Нет
Автор: Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
Год выпуска: 2018
Формат: PDF
Размер: 10.18 MB
ISBN: 522152506792
Язык: Английский
СКАЧАТЬ Foundations of Machine Learning, Second Edition БЕСПЛАТНО EPUB - DOC - DJVU - RTF - PDFОписание: A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms.The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms.
The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review.