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. 

<ASIN:149190142X>

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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Artificial Intelligence For Developers (In Easy Steps)

Author: Richard Urwin
Publisher: In Easy Steps
Date: September 2024
Pages: 192
ISBN: 978-1787910119
Print: 1787910113
Kindle: B0DBHZRZGM
Audience: Developers interested in AI
Rating: 4
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Author: Robert C. Martin
Publisher: Addison-Wesley
Date: September 2023
Pages: 384
ISBN: 978-0138176396
Print: 0138176396
Kindle: B0CGHQKGYG
Audience: General
Rating: 4.5
Reviewer: Kay Ewbank

This book sets out to explain the principles, patterns and practices of functional design, and why functional prog [ ... ]


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