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About Notes 20220602
This document provides an introduction to the course "Linear Algebra and Optimization for Machine Learning". It covers topics like linear algebra basics, optimization basics, constrained optimization, clustering, tree-based learners, and hyperparameter optimization. All of these topics are essential foundations for machine learning and are examined in depth in this text.
Detailed Information
| Author: | ['Yehor'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 208 |
| Language: | English |
| Format: | |
| Price: | FREE |
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