In the previous chapters, we discussed how to mix training data, as well as how to mix machine learning models to create more powerful models—leveraging the power of ensemble learning.
Let’s continue this learning process. In this chapter, we introduce and explain two powerful ensemble learning techniques that leverage mixing combinations of machine learning models to make a more powerful model. We tackle different combinations one at a time.
The following are this chapter’s goals.
Introduce and explain boosting
Examine how to implement boosting using ...
