List of Figures

Chapter 1. Learning reactive machine learning

Figure 1.1. Pooch Predictor 1.0 architecture

Figure 1.2. Pooch Predictor 1.1 architecture

Figure 1.3. Phases of machine learning

Figure 1.4. The structure of an instance

Figure 1.5. A simplistic machine learning system

Figure 1.6. A reactive machine learning system

Figure 1.7. The traits of reactive systems

Figure 1.8. Reactive strategies

Figure 1.9. A contained model-serving architecture

Figure 1.10. A supervisory architecture

Figure 1.11. Reactive machine learning data and strategies

Figure 1.12. Model of likes by hour

Chapter 2. Using reactive tools

Figure 2.1. Howlywood Star voting application architecture

Figure 2.2. Voting results mobile app

Figure 2.3. Distribution of request times

Figure 2.4. A contained model-serving architecture

Figure 2.5. A supervisory architecture

Figure 2.6. Vote-writing actor hierarchy

Chapter 3. Collecting data

Figure 3.1. Phases of machine learning

Figure 3.2. Great Migration data

Figure 3.3. Vulture Corp.

Figure 3.4. Cheetah Post

Figure 3.5. Simple density-data system architecture

Figure 3.6. Adding a queue

Figure 3.7. Concurrent access to a shared mutable state

Figure 3.8. A distributed database

Figure 3.9. A distributed database

Figure 3.10. Complete zebra-sensor readings

Figure 3.11. A network partition

Figure 3.12. Incomplete zebra sensor readings

Chapter 4. Generating features