Logistic Regression: Cost Functions & Optimization

This lecture covers the concept of logistic regression, focusing on different cost functions like quadratic and absolute costs, the gradient descent algorithm, and the choice of steplength. It also explains the use of the logistic sigmoid function for probability modeling and the cross entropy cost function for optimization.