Data Science from Scratch: First Principles with Python Contributor(s): Grus, Joel (Author) |
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ISBN: 1492041130 ISBN-13: 9781492041139 Publisher: O'Reilly Media
WE WILL NOT BE UNDERSOLD! Click here for our low price guarantee Binding Type: Paperback - See All Available Formats & Editions Published: June 2019 |
Additional Information |
BISAC Categories: - Computers | Data Modeling & Design - Computers | Programming Languages - Python - Computers | Databases - General |
Dewey: 005.756 |
Physical Information: 0.9" H x 6.9" W x 9.1" L (1.40 lbs) 403 pages |
Features: Bibliography, Illustrated, Index, Price on Product |
Descriptions, Reviews, Etc. |
Publisher Description: 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 core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today's messy glut of data.
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Contributor Bio(s): Grus, Joel: - 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. He blogs infrequently at joelgrus.com and tweets all day long at @joelgrus. |
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