August 2019
Beginner to intermediate
353 pages
18h 48m
English
1.2 Scope, Terminology, Prediction, and Data
1.2.2 Target Values and Predictions
1.3 Putting the Machine in Machine Learning
1.4 Examples of Learning Systems
1.4.1 Predicting Categories: Examples of Classifiers
1.4.2 Predicting Values: Examples of Regressors
1.5 Evaluating Learning Systems
1.6 A Process for Building Learning Systems
1.7 Assumptions and Reality of Learning