'Decision tree learning algorithm' presentation slideshows

Chapter 11: Supervised Learning

Chapter 11: Supervised Learning. 22c:145. Regression. Dependent variable. Independent variable (x). Regression is the attempt to explain the variation in a dependent variable using the variation in independent variables. Regression is thus an explanation of causation.

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Learning From Observations

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Decision Tree Classifiers

Decision Tree Classifiers. Abhishek Agarwal CS 5368: Intelligent Systems Fall 2010. Paradigms of learning Reinforcement Learning The agent receives some evaluation of actions (like fine for stealing bananas) but is not told the correct action (such as how to buy bananas)

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Announcements

Announcements. List of 5 source for research paper Homework 5 due Tuesday, October 30 Book Review due Tuesday, October 30. Classification problems and Machine Learning. Lecture 10. EnjoySport concept learning task. Given Instances X : Possible days, each described by the attributes

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Reactive Behavior Modeling Decision Trees (GATE-561)

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