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...
Đã lưu trong:
| 主要作者: | |
|---|---|
| 其他作者: | , |
| 格式: | 圖書 |
| 語言: | Vietnamese |
| 出版: |
New York
Cambridge University Press
2020
|
| 主題: | |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| Thư viện lưu trữ: | Thư viện Trường Đại học Nam Cần Thơ |
|---|