Essential math for data science take control of your data with fundamental linear algebra, probability, and statistics
To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practi...
| Formato: | Libro |
|---|---|
| Idioma: | Inglés |
| Publicado: |
Beijing ; Boston :
O'Reilly
understanding 2022
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| Edición: | First edition: June 2022 |
| Materias: | |
| Ver en Universidad de Navarra: | https://unika.unav.edu/discovery/fulldisplay?docid=alma991011435316308016&context=L&vid=34UNAV_INST:VU1&search_scope=34UNAV_TODO&tab=34UNAV_TODO&lang=es |
