Data science from scratch

Data science from scratch: first principles with Python

by Grus, Joel

Type Book
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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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Title Statements

  • Full title :Data science from scratch : first principles with Python / Joel Grus.

Summary

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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Edition Statements

  • Publication Date:cop. 2015.

Publication Statements

  • Publisher(s):O'Reilly Media
  • Place of Publication:Sebastopol, CA
  • Language:eng
  • Publication Date:cop. 2015.

Notes

Titre provenant de l'écran titre.

Numérisation de l'édition de O'REILLY.

La pagination de l'édition imprimée correspondante est de : XVI-311 p.

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9781491904404 (en ligne), 1491904402 (en ligne), 149190142X (en ligne), 9781491901427 (en ligne)
  • oclc:ocn922644893

Writers

Grus, Joel

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