Mathematics for machine learning
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 comput...
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| Autres auteurs: | , |
| Format: | Livre |
| Langue: | Vietnamese |
| Publié: |
New York
Cambridge University Press
2020
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| Thư viện lưu trữ: | Thư viện Trường Đại học Nam Cần Thơ |
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