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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Thomas Nield
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Thomas Nield
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.
350 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | June 10, 2022 |
| ISBN13 | 9781098102937 |
| Publishers | O'Reilly Media |
| Pages | 350 |
| Dimensions | 232 × 177 × 22 mm · 606 g |
| Language | English |
