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To really learn data science, you should not only master the tools―data science libraries, frameworks, modules, and toolkits―but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the...
About the Author:
Joel Grus is a research engineer at the Allen Institute for Artificial Intelligence. Previously he worked as a software engineer at Google and a data scientist at several startups. He lives in Seattle, where he regularly attends data science happy hours.
Title: Data Science from Scratch: First Principles ...
Publisher: O'Reilly Media
Publication Date: 2019
Binding: Soft cover
Condition: Good
Edition: 2nd Edition
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Soft cover. Condition: Good. Seller Inventory # 110
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