Computational Statistics Handbook with MATLAB, 3rd Ed (Chapman & Hall/CRC)
Tuesday, 15 March 2016

Wendy and Angel Martinez cover today’s most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the previous editions, keeping theoretical concepts to a minimum, while emphasizing the implementation of the methods.This third edition is updated with the latest version of MATLAB and the corresponding version of the Statistics and Machine Learning Toolbox.

<ASIN:1466592737>

It also incorporates new sections on the nearest neighbor classifier, support vector machines, model checking and regularization, partial least squares regression, and multivariate adaptive regression splines.

 

Authors: Wendy L. Martinez and Angel R. Martinez
Publisher: Chapman and Hall/CRC 
Date: January 8. 2016
Pages: 759
ISBN: 978-1466592735
Print: 1466592737 (Hardcover)
Kindle: B019FNKQ24

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Author: David Kopec
Publisher: Manning
Date: March 2019
Pages: 224
ISBN: 978-1617295980
Print: 1617295981
Kindle: ‎ ‎ B09782BT4Q
Level: Intermediate
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Category: Python
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Publisher: For Dummies
Pages: 800
ISBN: 978-1119884408
Print: 1119884403
Kindle: B0B1BLY87B
Audience: Novice programmers
Rating: 3
Reviewer: Kay Ewbank

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