Course
Derivatives
vectorizing logistic regression
Why we like to use that cost function for logistic regression?
- maximum likelihood estimation
- by minimizing this cost function J(w,b) we’re really carrying out maximum likelihood estimation with the logistic regression model. Under the assumption that our training examples were IID, or identically independently distributed.
Getting your Matrix dimensions right
