A concise introduction to machine learning / (Record no. 140038)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01725nam a22002297a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260707124348.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260309b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781032878140 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | PK-LaUMT |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | FAU-C |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Faul, A. C. |
| 245 12 - TITLE STATEMENT | |
| Title | A concise introduction to machine learning / |
| Statement of responsibility, etc | A. C. Faul |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Boca Raton : |
| Name of publisher, distributor, etc | CRC Press, |
| Date of publication, distribution, etc | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxvii, 323 p. |
| 490 ## - SERIES STATEMENT | |
| Series statement | Chapman & Hall/CRC machine learning & pattern recognition |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and Matlab® which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content. The emphasis of the book is on the question of Why - only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Standard techniques are treated rigorously, including an introduction to the necessary probability theory. This book addresses the commonalities and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques, since it is born out of strong experience in university teaching and research on algorithms, while remaining approachable and readable"-- Provided by publisher |
| 546 ## - LANGUAGE NOTE | |
| Language note | Eng |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning textbooks |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Home library | Current library | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Copy number |
|---|---|---|---|---|---|---|---|---|---|---|---|
| UMT Main Campus | UMT Main Campus | 2026-03-09 | 006.31 FAU-C | 151236 | 2026-03-09 | 2026-03-09 | Books | ||||
| UMT Main Campus | UMT Main Campus | 2026-07-07 | 006.31 FAU-C | 153282 | 2026-07-07 | 2026-07-07 | Books | C.2 |