TY  - BOOK
AU  - Shalev-Shwartz, Shai.
AU  - Ben-David, Shai
TI  - Understanding machine learning: from theory to algorithms
SN  - 9781107512825 (pbk.)
U1  - 006.31 
PY  - 2014///
CY  - New Delhi
PB  - Cambridge University Press
KW  - Machine learning
KW  - Algorithms
KW  - Computer algorithms
N2  - "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. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering"-- Provided by publisher
ER  -