Algorithmic Aspects of Machine Learning (Record no. 12245)

MARC details
000 -LEADER
fixed length control field 01526nmm a2200193Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220920s9999||||xx |||||||||||||| ||und||
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781316882177
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.310 151 81
Item number M729A
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Moitra, Ankur.
Relator term Author
Language of a work English
9 (RLIN) 1864
245 #0 - TITLE STATEMENT
Title Algorithmic Aspects of Machine Learning
Statement of responsibility, etc. / by Ankur Moitra.
Medium [Electronic Resource]
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge
Name of publisher, distributor, etc. : Cambridge University Press,
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent viii, 152p.
520 ## - SUMMARY, ETC.
Summary, etc. 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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Science
9 (RLIN) 926
Topical term or geographic name entry element Machine Learning
9 (RLIN) 15724
Topical term or geographic name entry element Pattern Recognition
9 (RLIN) 15725
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1017/9781316882177">https://doi.org/10.1017/9781316882177</a>
Electronic format type PDF
Link text Click to Access the Online Book
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Book
Suppress in OPAC
Holdings
Withdrawn status Lost status Damaged status Use restrictions Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Public note
      e-Book For Access   Textbook S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Online 2022-09-20 Infokart India Pvt. Ltd., New Delhi 215.00   006.310 151 81 M729A EB0385 2022-09-20 2022-09-20 e-Book Platform : Cambridge Core