Introduction to 10 601 Machine Learning Fall 2017 Lecture 10
Exploring 10 601 Machine Learning Fall 2017 Lecture 10 reveals several interesting facts. Decision Trees, Regularization, Overfitting
10 601 Machine Learning Fall 2017 Lecture 10 Comprehensive Overview
Decision Forests Variance, Covariance & Entropy Decision Trees, Occam's Razors HMM Forward, Backward, Viterbi
Inductive Bias
Summary & Highlights for 10 601 Machine Learning Fall 2017 Lecture 10
- Linear Regression
- Information Theory: Mutual Information and Covariate Selection
- ML Learn a Function
- Information Theory: Entropy and Mutual Information
- Linear Models; Regularization; Q&A
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