Cover of Building Machine Learning Systems with Python

Building Machine Learning Systems with Python

by Willi Richert, Luis Pedro Coelho · 2013

+ Want to read

This practical guide introduces readers who already know Python to machine learning, using the language's open-source libraries. Rather than dwelling on theory, it works through hands-on case studies: judging the quality of programming-forum answers, telling jazz from metal in music files, and suggesting films to viewers based on their ratings. Along the way it covers classification, regression and feature engineering, then moves into more advanced territory such as topic modelling across a large encyclopedia, market-basket analysis for purchase recommendations, image and sound processing, and running analyses on cloud servers. The authors also show how to evaluate and compare different techniques before choosing one. Mathematical derivations are kept to a minimum, so the focus stays on building working systems that solve real problems.

Subject
sciencescienceMore like thisLess of this
Themes
technologytechnologyMore like thisLess of thisartificial intelligenceartificial intelligenceMore like thisLess of this
Audience
adult
Length
medium · 350 pages

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