Mathematics for Machine Learning (Record no. 28278)
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
|---|---|
| ISBN | 9781108455145 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3/1 |
| Author Mark | DEI-M |
| 100 ## - MAIN ENTRY--AUTHOR | |
| Author Name | Deisenroth, Marc Peter, |
| 245 #0 - TITLE STATEMENT | |
| Title | Mathematics for Machine Learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of Publication | New York |
| Name of publisher, distributor, etc. | Cambridge University, |
| Date of publication, distribution, etc. | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | xvii, 371 |
| Dimensions | 17.78 x 2.24 x 25.4 cm |
| 500 ## - GENERAL NOTE | |
| General note | The 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/> |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Included with refence and Index |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject / Department | Computer Science, Mathematics, Machine Learning, Mathematics, Foundation, Linear Algebra, Analytics Geometry |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Faisal, Aldo |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ong, Cheng Soon |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Not for loan | Collection code | Permanent Location | Current Location | Shelving Location | Date acquired | Source of acquisition | Price | Inventory number | Full Call Number | Accession No./Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Computer Science | Air University Multan Campus Library | Air University Multan Campus Library | Computer Science | 07/01/2024 | Ali Books Services | 2018.00 | 0258 | 006.3/1 DEI-M | P004881 | 07/01/2024 | Book |