• 4.1: Machine Learning

    • Wikipedia: "Machine Learning" URL

      Read this article for an overview of machine learning. Be sure you understand the differences between the learning methods, which you can read about beneath the 'Algorithm types' section.

    • 4.1.1: Reinforcement Learning

      • John Lloyd's "Intelligent Agents" URL

        Watch this lecture and pay attention to the AIMA learning agent. Compare Lloyd's explanation of reinforced learning with others that you have seen.

    • 4.1.2: Machine Learning, Probability, and Graphical Models

      • Sam Roweis' "Machine Learning, Probability, and Graphical Models" URL

        Watch this lecture to review the applications of probabilistic learning, the concept of representation, and examples of training and graphical models. You may wish to work through the slides available on the left-hand side of this web-page as you listen to the lecture.