Understanding Machine Learning: From Theory to Algorithms (Record no. 38169)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01578nam a22001937a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 978-1139948517 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 SHW |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Shai Shalev-Shwartz |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Shai Ben-David |
| 245 ## - TITLE STATEMENT | |
| Title | Understanding Machine Learning: From Theory to Algorithms |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Cambridge University Press |
| Place of publication | New Delhi |
| Year of publication | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 416 pages |
| 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 a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed 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 advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering. |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | CSE |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Text Book |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Damaged status | |
| Not for loan | |
| Withdrawn status | Collection code | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Inventory number | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Computer Science and Engineering | VAST Central Library | VAST Central Library | S-23/CS | 26/12/2025 | Calicut Books | 1195.00 | 17954 | 006.31 SHW | 38344 | 15/01/2026 | Text Book |