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cs-401r:final-topics [2014/12/10 17:33]
ringger [Plan]
cs-401r:final-topics [2014/12/12 11:40] (current)
ringger [Topics]
Line 62: Line 62:
 # Strengths and limitations of conditional models # Strengths and limitations of conditional models
 # Answering conditional queries using a joint model versus using a conditional model directly # Answering conditional queries using a joint model versus using a conditional model directly
-# Maximum entropy classifiers¬†+# Maximum entropy classifiers ​/ Logistic regression¬†
-# NO derivations of gradients of the likelihood (using differential Calculus) for gradient descent+# NO derivations of gradients of the likelihood (using differential Calculus) for gradient descent ​/ ascent learning of maximum entropy model parameters
 # The feature engineering cycle # The feature engineering cycle
 # Pros and cons of Naive Bayes versus Maximum entropy as classifiers # Pros and cons of Naive Bayes versus Maximum entropy as classifiers
cs-401r/final-topics.txt · Last modified: 2014/12/12 11:40 by ringger
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