Essential Math for Data Science
Nield Thomas
9781098102937
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| Author(s) :- Nield Thomas | Format :- Paperback |
| Publisher :- O'Reilly Media | Pub. Date :- 2022-06-10 |
| ISBN-13 :- 9781098102937 | |
| Pagination :- 350 pages | |
| Dimensions :- 177 x 232 x 22 | |
| Weight :- 606 |
Description
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.
