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- Title: Algorithmic Aspects of Machine Learning
- Author(s) Ankur Moitra
- Publisher: Cambridge University Press, 1st Edition; eBook (Draft for Version 2)
- Paperback: 158 pages
- eBook: PDF (249 pages)
- Language: English
- ISBN-10/ASIN: 1316636003
- ISBN-13: 978-1316636008
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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.
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.
About the Authors- Ankur Moitra is the Rockwell International Associate Professor of Mathematics at Massachusetts Institute of Technology.
- Machine Learning
- Deep Learning and Neural Networks
- Algorithms and Data Structures
- Artificial Intelligence
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