Mathematical Foundations of Machine Learning
Overview & Synopsis
This book delves into the fundamental mathematical concepts that underpin the field of machine learning, providing a comprehensive exploration of the mathematical principles behind algorithms and models.
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Document Information
| Document Title | Mathematical Foundations of Machine Learning |
|---|---|
| Author / Organization | Seongjai Kim, Robert Nowak, Michael M. Wolf |
| Subject & Discipline | Machine Learning, Applied Mathematics, Algebra, Abstract and Linear Algebra, etc., Calculus and Mathematical Analysis, Statistics, Probability and Stochastic Processes |
| Categories | Machine Learning |
| Publication Year | 2025 |
| Resource Verification | ✓ Verified Direct PDF Available |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 11107.7 KB (11,374,252 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-10563 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |