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cs-470:review [2015/01/06 21:55] (current)
ryancha created
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 +General probability stuff is assumed, like , finding marginals, conditionals,​ etc.
  
 +== Bayesian Nets ==
 +
 +* Bayes law in general
 +* Computing the joint for a BN
 +* Using the joint to compute arbitrary probabilities and arbitrary conditional probabilities
 +* Kalman Model
 +** Make sure you understand the inputs and outputs and what it does in general
 +** You do NOT need to memorize the formula
 +
 +== Utility ==
 +
 +* Axioms of Utility in general, but you do not have to memorize them
 +* Computing the Expected Utility
 +* Risk averseness in general and what does it means in a practical sense when working with Lotteries (including as in the homework)
 +* Be able to do EVSI, like in the Homework
 +
 +== Complex Decision Making ==
 +
 +*Value Iteration
 +*Policy Iteration
 +*Modified Policy Iteration
 +*Q-learning will NOT be on the test
cs-470/review.txt ยท Last modified: 2015/01/06 21:55 by ryancha
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