Tucker: Created page with "The final will consist of approximately 3 multiple choice questions on each topic listed below: * Comparison of different regression learner performance characteristics: Tree..."

2017-04-20T20:27:49Z

Created page with "The final will consist of approximately 3 multiple choice questions on each topic listed below: * Comparison of different regression learner performance characteristics: Tree..."

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The final will consist of approximately 3 multiple choice questions on each topic listed below:

* Comparison of different regression learner performance characteristics: Trees, forests, KNN, linreg
* Comparison of learner types: Regression, Classification, RL
* Overfitting: Definition, how to identify, what might prevent it, what might cause it?
* Bootstrap aggregating.
* Boosting.
* Decision trees. Random versus information based construction. Advantages of one over the other.
* Reinforcement learning: How is it defined? Questions about State, Action, Transitions, Reward
* Q-Learning. The update equation, definition of Q
* Dyna-Q
* Things you should know because you did the projects. In sample versus out of sample. Istanbul problem, why did shuffling help?
* Options

Final Study Guide - Revision history

Tucker: Created page with "The final will consist of approximately 3 multiple choice questions on each topic listed below: * Comparison of different regression learner performance characteristics: Tree..."