Data Science from Scratch

Data Science from Scratch

3.91 (530 ratings by Goodreads)
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This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader with some programming skills. The book covers: The important parts of Python to know The important parts of Math / Probability / Statistics to know The basics of data science How commonly-used data science techniques work (learning by implementing them) What is Map-Reduce and how to do it in Python Other applications such as NLP, Network Analysis, and more
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Product details

  • Paperback | 330 pages
  • 182 x 232 x 17mm | 600g
  • Sebastopol, United States
  • English
  • 149190142X
  • 9781491901427
  • 55,344

About Joel Grus

Joel Grus is Chief Scientist and Head of Analytics at VoloMetrix, an enterprise analytics startup in Seattle. He has been doing data science since before it was called that, at a handful of Seattle startups before this one, and at Bing when one of those startups got bought by Microsoft. He's been using Python for almost 10 years. Joel is active in the Seattle data science community and maintains a blog at
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Rating details

530 ratings
3.91 out of 5 stars
5 31% (163)
4 39% (208)
3 23% (122)
2 5% (27)
1 2% (10)
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