Chapter 5. Learning models
This chapter covers
- Implementing model-learning algorithms
- Using Spark’s model-learning capabilities
- Handling third-party code
Continuing on our journey through the phases of a machine learning system, we now arrive at model learning (see figure 5.1). You can think of this part as that day when you were very young and looked up at a dark sky and decided that, based on past experience, it just might rain. The model you learned was dark clouds lead to rain. Although you may not remember it well, you figured out that model by reasoning about your past experiences with dark and bright days and whether you got rained on.
Figure 5.1. Phases of machine learning
That process you went through of reasoning about past experiences ...
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