Summary

The final class of the AI course reviews key concepts and applications of AI, focusing on machine learning and natural language processing. It covers the types of machine learning, including supervised, unsupervised, and reinforcement learning, with a focus on supervised learning's classification and regression. The importance of data and datasets is highlighted, and the class concludes with an examination of decision trees and pruning techniques.

What are the two main types of artificial intelligence discussed in the course?

Explain the difference between classification and regression in machine learning.

What is the significance of data and datasets in machine learning?

Describe the structure and function of a decision tree in machine learning.

What is pruning in the context of decision trees, and why is it important?