中图分类法:	TP181 版次：
著者:	Shalev-Shwartz, Shai,
题名:	Understanding machine learning : [ from theory to algorithms /] / ,
载体形态:	xvi, 397 pages : illustrations ; 26 cm.
内容提要:	"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 the