Mathematics for machine learning (Record no. 200712)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02581nam a22002657a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260610095755.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260610b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781009108850 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 DEI-M |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Deisenroth, Marc Peter. |
| 245 ## - TITLE STATEMENT | |
| Title | Mathematics for machine learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Cambridge : |
| Name of publisher | Cambridge University Press, |
| Year of publication | 2026 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xvii, 371p. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Machine learning |
| Volume number/sequential designation | Mathematics |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Artificial intelligence. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Introduction and motivation<br/>2. Linear algebra<br/>3. Analytic geometry<br/>4. Matrix decompositions<br/>5. Vector calculus<br/>6. Probability and distribution<br/>7. Optimization<br/>8. When models meet data<br/>9. Linear regression<br/>10. Dimensionality reduction with principal component analysis<br/>11. Density estimation with Gaussian mixture models<br/>12. Classification with support vector machines. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | he fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.<br/><br/>A one-stop presentation of all the mathematical background needed for machine learning<br/>Worked examples make it easier to understand the theory and build both practical experience and intuition<br/>Explains central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Faisal, A. Aldo. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ong, Cheng Soon. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.cambridge.org/9781108470049 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books and Monographs |
| Full call number | Accession Number | Koha item type | Lost status | Damaged status | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition |
|---|---|---|---|---|---|---|---|---|---|
| 006.31 DEI-M | 102917 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 03.06.2026 | New Delhi, Shankar's Book Agency Pvt. Ltd. | ||
| 006.31 DEI-M | 102918 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 03.06.2026 | New Delhi, Shankar's Book Agency Pvt. Ltd. |