Data science from scratch

Data science from scratch: first principles with python

by Grus, Joel

Type Book
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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. In this book, 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…

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Title Statements

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

Summary

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. In this book, 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 h.

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Edition Statements

  • Publication Date:2015.
  • Edition:First edition

Publication Statements

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

Notes

Includes index.

The Physical Object

  • Description:1 online resource (XVI, 312 s.)

Edition Identifiers

  • ISBN:1491901411, 9781491901410, 149190142X, 9781491901427
  • oclc:on1171554375
  • LC Classification:QA76.73.P98 G78 2015
  • Dewey Decimal:004

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