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Python: Real World Machine Learning
book

Python: Real World Machine Learning

by Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti
November 2016
Beginner to intermediate
941 pages
21h 55m
English
Packt Publishing
Content preview from Python: Real World Machine Learning

Further reading

My suggested go-to introduction to feature selection is Ando Sabaas' four-part exploration of a broad range of feature selection techniques. It's full of Python code snippets and informed commentary. Get started at http://blog.datadive.net/selecting-good-features-part-i-univariate-selection/.

For a discussion on feature selection and engineering that ranges across materials in chapters 6 and 7, consider Alexandre Bourhard-Côté's slides at http://people.eecs.berkeley.edu/~jordan/courses/294-fall09/lectures/feature/slides.pdf. Also consider reviewing Jeff Howbert's slides at http://courses.washington.edu/css490/2012.Winter/lecture_slides/05a_feature_creation_selection.pdf.

There is a shortage of thorough discussion of feature creation, ...

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Publisher Resources

ISBN: 9781787123212Supplemental ContentPurchase Link