國立虎尾科技大學 |

Algorithmic aspects of machine learning /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Algorithmic aspects of machine learning // Ankur Moitra, Massachusetts Institute of Technology.
Author:	Moitra, Ankur,
Description:	1 online resource (vii, 151 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 28 Sep 2018).
Subject:	Machine learning - Mathematics. -
Online resource:	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 /
LDR:01877nam a22002898i 4500 001 1122726
003 UkCbUP
005 20181001110955.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 240926s2018||||enk o ||1 0|eng|d
020 $a 9781316882177 (ebook)
020 $z 9781107184589 (hardback)
020 $z 9781316636008 (paperback)
035 $a CR9781316882177
040 $a UkCbUP $b eng $e rda $c UkCbUP
050 0 0 $a Q325.5 $b .M65 2018
082 0 0 $a 006.3/1015181 $2 23
100 1 $a Moitra, Ankur, $d 1985- $e author. $3 1439135
245 1 0 $a Algorithmic aspects of machine learning / $c Ankur Moitra, Massachusetts Institute of Technology.
264 1 $a Cambridge : $b Cambridge University Press, $c 2018.
300 $a 1 online resource (vii, 151 pages) : $b digital, PDF file(s).
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Title from publisher's bibliographic system (viewed on 28 Sep 2018).
520 $a 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.
650 0 $a Machine learning $x Mathematics. $3 1340126
650 0 $a Computer algorithms. $3 528448
776 0 8 $i Print version: $z 9781107184589
856 4 0 $u https://doi.org/10.1017/9781316882177