Data mining

Chapter 4 discussed the alternative techniques for building classification models.

1. Explain the simple techniques (rule-based, etc.) and sophisticated techniques (artificial neural networks, deep learning, etc.) for building classification models and provide examples of each.
2. Search internet or library and identify a data set to use in your example to show how a rule-based classifier works?
3. Explain the basis of probability theory by applying Bayes Theorem.