Essential Math for Data Science

Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

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.
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Writer
Nield, Thomas
Title
Essential Math for Data Science
Publisher
O'Reilly Media
Year
2022
Language
English
Pages
350
Weight
587 gr
EAN
9781098102937
Dimensions
233 x 178 x 19 mm
Binding format
Paperback / softback

You will always receive the last edition from us!


Categories

Boekstra