Data Science from Scratch: First Principles with Python, Edition 2
Apr 2019 · "O'Reilly Media, Inc."
4.4star
8 reviewsreport
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About this ebook
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. With this updated second edition, you’ll learn how many of the most fundamental data science 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 hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.
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4.4
8 reviews
ANALIZA ADENA ORIO (IZAY ORIO)
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February 11, 2023
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Paris Mollo
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November 18, 2019
Incredible
6 people found this review helpful
Rodisney Almal
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June 8, 2020
We need a translation to pt-br...
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. He blogs infrequently at joelgrus.com and tweets all day long at @joelgrus.
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