Mathematics for Machine Learning
Overview & Synopsis
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.
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Document Information
| Document Title | Mathematics for Machine Learning |
|---|---|
| Author / Organization | Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong |
| Subject & Discipline | Deep Learning and Neural Networks, Machine Learning, Linear and Matrix Algebra, Applied Mathematics |
| Categories | Deep Learning and Neural Networks |
| Publication Year | 2020 |
| ISBN | 978-1108455145 |
| Resource Verification | ✓ Verified Direct PDF Available |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 16685.1 KB (17,085,505 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-10561 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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