The hundred-page machine learning book (Record no. 412)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01893nam a2200193Ia 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250312172303.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230228s2019||||xx |||||||||||||| ||eng|| |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781999579500 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 B97 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Burkov, Andriy. |
| Relator term | Author |
| 245 #4 - TITLE STATEMENT | |
| Title | The hundred-page machine learning book |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Andriy Burkov, |
| Year of publication | 2019. |
| Place of publication | New Delhi: |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xviii, 141p.; 19cms. |
| 500 ## - GENERAL NOTE | |
| General note | "This is a compact “how to do data science” manual and I predict it will become a go-to resource for academics and practitioners alike. At 100 pages (or a little more), the book is short enough to read in a single sitting. Yet, despite its length, it covers all the major machine learning approaches, ranging from classical linear and logistic regression, through to modern support vector machines, deep learning, boosting, and random forests. There is also no shortage of details on the various approaches and the interested reader can gain further information on any particular method via the innovative companion book wiki. The book does not assume any high level mathematical or statistical training or even programming experience, so should be accessible to almost anyone willing to invest the time to learn about these methods. It should certainly be required reading for anyone starting a PhD program in this area and will serve as a useful reference as they progress further. Finally, the book illustrates some of the algorithms using Python code, one of the most popular coding languages for machine learning. I would highly recommend “The Hundred-Page Machine Learning Book” for both the beginner looking to learn more about machine learning and the experienced practitioner seeking to extend their knowledge base." |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Special computer methods |
| General subdivision | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Materials science--Data processing |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Full call number | Accession Number | Copy number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|
| Dr. S. R. Ranganathan Library | Dr. S. R. Ranganathan Library | General Stacks | 006.31 B97 | 2470 | 1 | Books | ||||
| Dr. S. R. Ranganathan Library | Dr. S. R. Ranganathan Library | General Stacks | 006.31 B97:1 | 2471 | 2 | Books | ||||
| Dr. S. R. Ranganathan Library | Dr. S. R. Ranganathan Library | General Stacks | 006.31 B97:2 | 2472 | 3 | Books |