Understanding Machine Learning PDF ePub eBook

Books Info:

Understanding Machine Learning free pdf 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 a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed 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 advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering.

About Shai Shalev-Shwartz

Shai Shalev-Shwartz is an Associate Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel. Shai Ben-David is a Professor in the School of Computer Science at the University of Waterloo, Canada.

Details Book

Author : Shai Shalev-Shwartz
Publisher : Cambridge University Press
Data Published : 19 May 2014
ISBN : 1107057132
EAN : 9781107057135
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 409 pages
Age + : 18 years
Language : English
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