Data Science from Scratch (O'Reilly)
Tuesday, 12 May 2015

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch with Python. If you have an aptitude for mathematics and some programming skills, Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with provides a crash course in Python to implement them. 

Author: Joel Grus
Publisher: O'Reilly 

Date: April 30, 2015
Pages: 330
ISBN: 9781491901427
Print: 149190142X
Kindle: B00W4DTP2A

Category: Data Science; Python
Level: Introductory

 

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Date: October 2024
Pages: 320
ISBN: 978-0137353484
Print: 0137353480
Kindle: B09RV3Z3TP
Audience: General
Rating: 4.5
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Author: Ian McEwan
Publisher: Vintage, 2019
Pages: 304
ISBN: 978-1529111255
Print: 1529111250
Kindle: B07HR6SGQ9
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Rating: 4.5
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