Chapter 1. Building applications for the intelligent web
Table 1.1. A sample dataset to illustrate intelligent-algorithm evaluation
Table 1.2. Performance metrics used in the evaluation of intelligent algorithms
Chapter 3. Recommending relevant content
Chapter 4. Classification: placing things where they belong
Table 4.1. A typical confusion matrix for a simple binary classification problem
Chapter 6. Deep learning and neural networks
Chapter 7. Making the right choice