Algorithmic Aspects of Machine Learning (pdf)

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Author Ankur Moitra
Edition 1
Edition Year 2018
Format PDF
ISBN 9781107184589
Language English
Number Of Pages 159
Publisher Cambridge University Press

Description

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

Additional information

Author

Ankur Moitra

Edition

1

Edition Year

2018

Format

PDF

ISBN

9781107184589

Language

English

Number Of Pages

159

Publisher

Cambridge University Press

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