Algorithmic Aspects of Machine Learning (Record no. 12245)
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000 -LEADER | |
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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 | |
Link text | Click to Access the Online Book |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | e-Book |
Suppress in OPAC |
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 |
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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 |