Essential Math for Data Science /

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...

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Bibliographic Details

Main Author:	Nield, Thomas (Author)
Corporate Author:	Safari, an O'Reilly Media Company
Format:	eBook
Language:	English
Published:	O'Reilly Media, Incorporated, 2022.
Edition:	1st edition.
Subjects:	Electronic books.
Online Access:	Connect to this electronic resource