Data Science from Scratch: First Principles with Python (Paperback)

Joel Grus

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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