Название: Understanding Machine Learning: From Theory to Algorithms
Автор: Shai Shalev-Shwartz, Shai Ben-David
Издательство: Cambridge University Press
Год: 2014
Страниц: 410
Формат: True PDF
Размер: 10 Mb
Язык: English
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms.