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Algorithmic aspects of machine learning /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Algorithmic aspects of machine learning // Ankur Moitra, Massachusetts Institute of Technology.
作者:
Moitra, Ankur,
面頁冊數:
1 online resource (vii, 151 pages) :digital, PDF file(s). :
附註:
Title from publisher's bibliographic system (viewed on 28 Sep 2018).
標題:
Machine learning - Mathematics. -
電子資源:
https://doi.org/10.1017/9781316882177
ISBN:
9781316882177 (ebook)
Algorithmic aspects of machine learning /
Moitra, Ankur,1985-
Algorithmic aspects of machine learning /
Ankur Moitra, Massachusetts Institute of Technology. - 1 online resource (vii, 151 pages) :digital, PDF file(s).
Title from publisher's bibliographic system (viewed on 28 Sep 2018).
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.
ISBN: 9781316882177 (ebook)Subjects--Topical Terms:
1340126
Machine learning
--Mathematics.
LC Class. No.: Q325.5 / .M65 2018
Dewey Class. No.: 006.3/1015181
Algorithmic aspects of machine learning /
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https://doi.org/10.1017/9781316882177
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