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 compute...
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| Other Authors: | , |
| Format: | Libro |
| Language: | English |
| Published: |
Cambridge :
Cambridge University Press,
2020.
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| Online Access: |
Internet
Biblioteca República
| Call Number: |
006.31 DEI |
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| Copy |
Disponible
Notes:
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