Essential Math for Data Science
Thomas Nield
O'Reilly Media, 2022
68,50 €On orderDelivery: 2-3 weeks
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.
- ISBN-13
- 9781098102937
- ISBN-10
- 1098102932
- Publisher
- O'Reilly Media
- Year
- 2022
- Publication date
- 2022-06-10
- Pages
- 350
- Dimensions
- 177x232x22
- Weight
- 606