Chapter 10. Modeling and prediction

3.1  Basic machine-learning modeling

3.1.2  The purpose of finding a good model

3.1.3  Types of modeling methods

3.1.4  Supervised versus unsupervised learning

3.2  Classification: predicting into buckets

3.2.1  Building a classifier and making predictions

3.2.2  Classifying complex, nonlinear data

3.2.3  Classifying with multiple classes

3.3  Regression: predicting numerical values

3.3.1  Building a regressor and making predictions

3.3.2  Performing regression on complex, nonlinear data

3.4  Summary

3.5  Terms from this chapter