Data science from scratch : first principles with Python /

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Bibliographic Details
Author / Creator:Grus, Joel (Software engineer), author.
Edition:First edition.
Imprint:Sebastopol, CA : O'Reilly Media, 2015.
Description:1 online resource () : color illustrations
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11609620
Hidden Bibliographic Details
ISBN:9781491904404
1491904402
9781491904398
1491904399
149190142X
9781491901427
9781491901427
Notes:Includes index.
Online resource; title from digital title page (viewed on May 10, 2017).
Other form:Print version: 9781491904404

MARC

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300 |a 1 online resource () :  |b color illustrations 
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505 0 |a Introduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Go forth and do data science. 
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