Cambridge University Press | Algorithmic Aspects Of Machine Learning (2018 EN)

Author: Ankur Moitra
Full Title: Algorithmic Aspects Of Machine Learning
Publisher: Cambridge University Press; 1st edition (September 27, 2018)
Year: 2018
ISBN-13: 9781316636008 (978-1-316-63600-8), 9781107184589 (978-1-107-18458-9), 9781316886854 (978-1-316-88685-4)
ISBN-10: 1316636003, 1107184584, 1316886859
Pages: 158
Language: English
Genre: Educational: Machine Learning
File type: PDF (True, but nonnative Cover)
Quality: 9/10
Price: £59.99


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.


Overview:
✓ Covers exciting recent developments in theoretical machine learning
✓ Introduces sophisticated mathematical tools and demonstrates their use in designing and analyzing algorithms
✓ Includes numerous exercises to challenge the reader's understanding

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