Machine learning fundamentals : (Record no. 2478)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02613cam a22003138i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 22166249 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KWUST |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230824133527.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210805s2021 enk b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2021038652 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781108940023 |
| Qualifying information | (paperback) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | KWUST |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q325.5.J53 2021 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Jiang, Hui |
| Titles and words associated with a name | (Computer scientist), |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Machine learning fundamentals : |
| Remainder of title | a concise introduction / |
| Statement of responsibility, etc. | Hui Jiang, York University, Toronto. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | United Kingdom ; |
| -- | New York, NY : |
| Name of producer, publisher, distributor, manufacturer | Cambridge University Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xviii,380p. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | unmediated |
| Media type code | n |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Carrier type code | nc |
| Source | rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely "from scratch" based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts. Hui Jiang is Professor of Electrical Engineering and Computer Science at York University, where he has been since 2002. His main research interests include machine learning, particularly deep learning, and its applications to speech and audio processing, natural language processing, and computer vision. Over the past 30 years, he has worked on a wide range of research problems from these areas and published hundreds of technical articles and papers in the mainstream journals and top-tier conferences. His works have won the prestigious IEEE Best Paper Award and the ACL Outstanding Paper honor"-- |
| Assigning source | Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition |
| Source of heading or term | bisacsh |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 7 |
| b | cbc |
| c | orignew |
| d | 1 |
| e | ecip |
| f | 20 |
| g | y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress 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 | Inventory number | Total Checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | KWUST-Main Library | KWUST-Main Library | General Stacks | 08/24/2023 | 1059/08-23 | Q325.5.J53 2021 | 2023-0853 | 08/24/2023 | C.1 | 08/24/2023 | Books | |||||
| Library of Congress Classification | KWUST-Main Library | KWUST-Main Library | General Stacks | 08/24/2023 | 1060/08-23 | Q325.5.J53 2021 | 2023-0854 | 08/24/2023 | C.2 | 08/24/2023 | Books | |||||
| Library of Congress Classification | KWUST-Main Library | KWUST-Main Library | General Stacks | 08/25/2023 | 1102/08-23 | Q325.5.J53 2021 | 2023-0975 | 08/25/2023 | C.3 | 08/25/2023 | Books |