Topics in Machine Learning

11-29

Linear and Logistic Regression

11-22

Logistic Regression and Classification

11-08

Gradient Descent Search and Regularization

11-06

Linear Algebra

11-03

Validating Models

10-25

Principles of Visualizing Data

10-16

Mathematical Models

10-06

Statistical Significance

10-05

Statistical Distributions

09-27