Learning from Observations Chapter 18 Through 18.3.5 * Outline Learning agents Inductive learning Decision tree learning * Learning Learning is essential for unknown environments,…

Learning from Observations Chapter 18 Section 1 – 3, 5-8 (presentation TBC) Outline Learning agents Inductive learning Decision tree learning Learning Learning is essential…

Learning from Observations Decision making in episodic environments We have just looked at decision making in sequential environments Now let’s consider the “easier”…

Learning from Observations Chapter 18 Section 1 – 3 Learning from Observations Outline Learning agents Inductive learning Decision tree learning Learning Learning is essential…

Chapter 18 Section 1 â 3 Learning from Observations Outline Learning agents Inductive learning Decision tree learning Learning Learning is essential for unknown environments,…

Uncertainty AND Probability Area = Probability of Event P(A, B) = P(A ˄ B) = P(A) + P(B) - P(A ˅ B) P(A ˄ B) = P(A) + P(B) - P(A ˅ B) 1 AND Probability P(A, B) = P(A…

Learning From Observations Inductive Learning Decision Trees Ensembles Outline Learning agents Inductive learning Decision tree learning Learning Learning is essential for…

Learning from Observations Chapter 18 Section 1 – 3 Outline Learning agents Inductive learning Decision tree learning Learning Learning is essential for unknown environments,…

Uncertainty Introduction to Machine Learning Reading for today: R&N 18.1-18.4 Next lecture: R&N 18.6-18.12, 20.1-20.3.2 1 1 Outline The importance of a good representation…

Learning from Observations Chapter 18 Section 1 – 3, 5-8 (presentation TBC) Outline Learning agents Inductive learning Decision tree learning Learning Learning is essential…