Understanding machine learning : from theory to algorithms (Record no. 29486)
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| 000 -LEADER | |
|---|---|
| fixed length control field | nam a22 7a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190427b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781107512825 |
| Terms of availability | (pbk) |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | SHA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Shalev-Shwartz, Shai |
| 245 ## - TITLE STATEMENT | |
| Title | Understanding machine learning : from theory to algorithms |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | New Delhi : |
| Name of publisher, distributor, etc | Cambridge University Press, |
| Date of publication, distribution, etc | 2014 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvi, 397 p. : |
| Other physical details | ill. ; |
| Dimensions | 23.2 cm. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 995.00 |
| Unit of pricing | 00 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer vision & pattern recognition |
| Topical term or geographic name as entry element | Machine learning |
| Topical term or geographic name as entry element | Algorithms |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Total Renewals | Full call number | Barcode | Date last seen | Date last borrowed | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | DAU | DAU | 23/04/2019 | BBC | 995.00 | 9 | 1 | 006.31 SHA | 031864 | 15/05/2025 | 07/01/2025 | Books |