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Machine Learning in Action
book

Machine Learning in Action

by Peter Harrington
April 2012
Intermediate to advanced content levelIntermediate to advanced
384 pages
11h 19m
English
Manning Publications
Content preview from Machine Learning in Action

Part 2. Forecasting numeric values with regression

This part of the book, chapters 8 and 9, covers regression. Regression is a continuation of supervised learning from chapters 1 through 7. Recall that supervised learning is machine learning when we have a target variable, or something we want to predict. The difference between regression and classification is that in regression our target variable is numeric and continuous.

Chapter 8 covers an introduction to linear regression, locally weighted linear regression, and shrinkage methods. Chapter 9 takes some ideas from tree building in chapter 3 and applies these to regression to create tree-based regression.

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Publisher Resources

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