Probably Approximately Correct

Probably Approximately Correct
Author :
Publisher : Basic Books (AZ)
Total Pages : 210
Release :
ISBN-10 : 9780465032716
ISBN-13 : 0465032710
Rating : 4/5 (710 Downloads)

Book Synopsis Probably Approximately Correct by : Leslie Valiant

Download or read book Probably Approximately Correct written by Leslie Valiant and published by Basic Books (AZ). This book was released on 2013-06-04 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting a theory of the theoryless, a computer scientist provides a model of how effective behavior can be learned even in a world as complex as our own, shedding new light on human nature.


Probably Approximately Correct Related Books

Probably Approximately Correct
Language: en
Pages: 210
Authors: Leslie Valiant
Categories: Science
Type: BOOK - Published: 2013-06-04 - Publisher: Basic Books (AZ)

DOWNLOAD EBOOK

Presenting a theory of the theoryless, a computer scientist provides a model of how effective behavior can be learned even in a world as complex as our own, she
An Introduction to Computational Learning Theory
Language: en
Pages: 230
Authors: Michael J. Kearns
Categories: Computers
Type: BOOK - Published: 1994-08-15 - Publisher: MIT Press

DOWNLOAD EBOOK

Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for rese
Understanding Machine Learning
Language: en
Pages: 415
Authors: Shai Shalev-Shwartz
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Foundations of Machine Learning, second edition
Language: en
Pages: 505
Authors: Mehryar Mohri
Categories: Computers
Type: BOOK - Published: 2018-12-25 - Publisher: MIT Press

DOWNLOAD EBOOK

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 machin
Information Theory, Inference and Learning Algorithms
Language: en
Pages: 694
Authors: David J. C. MacKay
Categories: Computers
Type: BOOK - Published: 2003-09-25 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Table of contents