Media Summary: (February 13, 2012) Leonard Susskind starts the class by answering a question that arose in the last Decision tree tutorial, decision tree examples, decision tree entropy calculation. Evaluation measures, gini index, data sampling decision trees.
Week 6 Lecture 46 Minimum - Detailed Analysis & Overview
(February 13, 2012) Leonard Susskind starts the class by answering a question that arose in the last Decision tree tutorial, decision tree examples, decision tree entropy calculation. Evaluation measures, gini index, data sampling decision trees. Logistic Regression & Classification This Statistical Significance, P-Values, Effect Size & Regression (Stats vs ML) This Important point is that you'll get some values for entropy and which one will you select the one which has the highest or the
Introduction to regularized linear regression: Ridge and Lasso regression.
