Introduction to 10 601 Machine Learning Fall 2017 Lecture 09
Let's dive into the details surrounding 10 601 Machine Learning Fall 2017 Lecture 09. Decision Trees, Occam's Razors
10 601 Machine Learning Fall 2017 Lecture 09 Comprehensive Overview
Perceptron - the algorithm and it's mistake bound; margin. Decision Trees, Regularization, Overfitting Information Theory: Mutual Information and Covariate Selection
Framework
Summary & Highlights for 10 601 Machine Learning Fall 2017 Lecture 09
- Decision Forests Variance, Covariance & Entropy
- Linear Regression
- Bayesian
- Information Theory: Cross Entropy and Self Entropy
- Information Theory: Entropy and Mutual Information
That wraps up our extensive overview of 10 601 Machine Learning Fall 2017 Lecture 09.