Understanding machine learning : (Record no. 1916)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03366cam a2200313 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 001916 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MIUC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20211027122331.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 211027s2014 nyua b 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781107057135 |
| Qualifying information | (hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1107057132 (hardback) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Transcribing agency | DLC |
| Description conventions | rda |
| Modifying agency | DLC |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Shalev-Shwartz, Shai. |
| Relator term | author |
| 952 ## - Items | |
| Itemnumber | 2285 |
| 245 10 - TITLE STATEMENT | |
| Title | Understanding machine learning : |
| Remainder of title | from theory to algorithms / |
| Statement of responsibility, etc. | Shai Shalev-Shwartz, Shai Ben-David. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | New York : |
| Name of producer, publisher, distributor, manufacturer | Cambridge University Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2014. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvi, 397 pages : |
| Other physical details | illustrations ; |
| Dimensions | 26 cm. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references (pages 385-393) and index. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Introduction -- <br/>Part 1. Foundations -- <br/>2. A gentle start -- <br/>3. A formal learning model -- <br/>4. Learning via uniform convergence -- <br/>5. The bias-complexity tradeoff -- <br/>6. The VC-dimension -- <br/>7. Non-uniform learnability -- <br/>8. The runtime of learning -- <br/>Part 2. From Theory to Algorithms -- <br/>9. Linear predictors -- <br/>10. Boosting -- <br/>11. Model selection and validation -- <br/>12. Convex learning problems -- <br/>13. Regularization and stability -- <br/>14. Stochastic gradient descent -- <br/>15. Support vector machines -- <br/>16. Kernel methods -- <br/>17. Multiclass, ranking, and complex prediction problems -- <br/>18. Decision trees -- <br/>19. Nearest neighbor -- <br/>20. Neural networks -- <br/>Part 3. Additional Learning Models -- <br/>21. Online learning -- <br/>22. Clustering -- <br/>23. Dimensionality reduction -- <br/>24. Generative models -- <br/>25. Feature selection and generation -- <br/>Part 5. Advanced Theory -- <br/>26. Rademacher complexities -- <br/>27. Covering numbers -- <br/>28. Proof of the fundamental theorem of learning theory -- <br/>29. Multiclass learnability -- <br/>30. Compression bounds -- <br/>31. PAC-Bayes -- <br/>Appendix A. Technical lemmas -- <br/>Appendix B. Measure concentration -- <br/>Appendix C. Linear algebra. |
| 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 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning |
| 9 (RLIN) | 5439 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Algorithms |
| 9 (RLIN) | 5448 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer algorithms |
| 9 (RLIN) | 5440 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ben-David, Shai |
| 9 (RLIN) | 5449 |
| Relator term | author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Marbella International University Centre | Marbella International University Centre | Library | 09/11/2021 | 1 | 48.91 | 006.31 SHA und | 09/11/2021 | 48.91 | 09/11/2021 | Books |