Exploring 10 601 Machine Learning Fall 2017 Lecture 07
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- Decision Forests Variance, Covariance & Entropy
- ML Learn a Function
- Decision Trees, Occam's Razors
- Information Theory: Mutual Information and Covariate Selection
- Deep
In-Depth Information on 10 601 Machine Learning Fall 2017 Lecture 07
Information Theory: Entropy and Mutual Information Information Theory: Cross Entropy and Self Entropy Non parametric Decision Trees, Regularization, Overfitting
Directed Graphical Models Bayes Nets
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