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Joel Grus

Data Science from Scratch

★★★★★
★★★★★
3.91 (926 ratings by Goodreads)
€65.99
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data analysis
data visualization
databases
decision trees
deep learning
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machine learning
natural language processing
network analysis
neural networks
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Python
python data science machine learning overview regression data analysis visualization natural language processing
regression
softlaunch
USA

Product details

  • ISBN 9781492041139
  • Dimensions: 178 x 233mm
  • Publication Date: 31 May 2019
  • Publisher: O'Reilly Media
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
Delivery/Collection within 10-20 working days

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Description
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.
About Joel Grus
Joel Grus is a software engineer at Google. Before that he worked as a data scientist at multiple startups. He lives in Seattle, where he regularly attends data science happy hours.