Describe the applications of artificial intelligence systems : Types and Applications of ML

The video introduces machine learning, covering supervised, unsupervised, and reinforcement learning. It explains supervised learning with classification and regression, unsupervised learning with clustering, and reinforcement learning with examples like game playing and robot navigation. The video concludes with a summary of these types and their applications.

Can you explain the concept of a discriminant in the context of classification algorithms?

Discuss the importance of probability theory in machine learning as highlighted in the video.

What are some applications of classification algorithms mentioned in the video?

What role does clustering play in unsupervised learning?