## ML I, Week 5: Homework Questions

- How would you use Bayes' rule and a bunch of density estimators to
solve a classification problem?

- Why is it a bad idea to solve a two-class classification problem
by linear least-squares regression onto the class indicator function?
Characterize two solutions that work in terms of the loss functions
they minimize.

- Verify (by calculating the partial dE/dw) the claim that
regression with logistic sigmoid ouput and cross-entropy loss function
for a two-class classification problem gives the same gradient descent
rule as linear least-squares regression.

### due Monday, 25 Nov 2002