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...
Kaydedildi:
| Yazar: | |
|---|---|
| Diğer Yazarlar: | |
| Materyal Türü: | Kitap |
| Dil: | Undetermined |
| Baskı/Yayın Bilgisi: |
Cambridge ;New York, NY
Cambridge University Press
2020
|
| Konular: | |
| Online Erişim: | http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&ID=41689 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|
| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Thủ Dầu Một |
|---|