Mathematics for machine learning / Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong.
| Author/creator | Deisenroth, Marc Peter author. |
| Other author | Faisal, A. Aldo, author. |
| Other author | Ong, Cheng Soon, author. |
| Format | Book |
| Publication | Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2020. |
| Copyright Date | ©2020 |
| Description | xvii, 371 pages : illustrations (some color) ; 26 cm |
| Subjects |
| Contents | Introduction and motivation -- Linear algebra -- Analytic geometry -- Matrix decompositions -- Vector calculus -- Probability and distribution -- Continuous optimization -- When models meet data -- Linear regression -- Dimensionality reduction with principal component analysis -- Density estimation with Gaussian mixture models -- Classification with support vector machines. |
| Abstract | "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"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Issued in other form | Online version: Deisenroth, Marc Peter. Mathematics for machine learning. Cambridge, United Kingdom ; New York : Cambridge University Press, 2020. 9781108679930 |
| LCCN | 2019040762 |
| ISBN | 9781108470049 hardcover |
| ISBN | 1108470041 hardcover |
| ISBN | 9781108455145 paperback |
| ISBN | 110845514X paperback |
| ISBN | electronic publication |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Joyner | General Stacks | Q325.5 .D45 2020 | ✔ Available | Place Hold |