In this chapter, we will explore the world of machine learning through the following topics:
- Predicting actions with an N-Gram predictor
- Improving the predictor – Hierarchical N-Gram
- Learning to use a Naïve Bayes classifier
- Implementing reinforcement learning
- Implementing artificial neural networks