Topic 11c
Types of Learning

Prior to Class

By the end of this topic students should be able to:

• Provide a definition for [imitation| supervised learning | unsupervised learning | reinforcement learning].
• Discuss a specific example of where a human is learning through [imitation | supervised learning | unsupervised learning | reinforcement learning].

By the end of this unit students should be able to:

• Discuss one example of machine learning and explain whether it is supervised learning, unsupervised learning, or reinforcement learning.

• Readings
• The three types of learning - pp 589-591
  • The book mentions imitation which you should know. But, we will not consider a form of learning in this course.
• Videos
  • Crash Course AI #2 - Supervised Learning
    • Note, the most important part of this video is in the introduction of this video from 0-2:46
    • The second half of the video goes pretty deeply into Artificial Neural Networks (aka ANNs) - which is a future topic. I suggest you watch it but don't worry about the ANN details. Focus only on the information dealing with the supervised learning that takes place with a neural network.
  • Crash Course AI #6 - Unsupervised Learning
    • Again, a small part of this contains some discussion about ANNs. Don't worry about the details now. Instead, focus on what is happening with unsupervised learning.
  • Crash Course AI #9 - Reinforcement Learning

In class

Discussion

Let's walk through this idea for a bit.

Checking for Understanding

This particular section doesn't have cut-and-dry questions and answers from the book.

• Could you define each of the four learning techniques?
• Could you give an example of each of the four learning techniques?