Chapter 1. Building applications for the intelligent web
Figure 1.3. The intelligent-algorithm lifecycle
Chapter 2. Extracting structure from data: clustering and transforming your data
Chapter 3. Recommending relevant content
Figure 3.2. Naïve similarity curves as functions of the Euclidean distance
Chapter 4. Classification: placing things where they belong
Figure 4.2. An overview of classification algorithms based on their design
Figure 4.3. The lifecycle of a classifier: training, validation (or testing), and use in production
Chapter 5. Case study: click prediction for online advertising
Chapter 6. Deep learning and neural networks
Chapter 7. Making the right choice
Appendix Capturing data on the web