ML_course
ML_course copied to clipboard
Typos in lecture 6a (GLM)
Hi,
I think I've spotted a few typos in the lecture notes for lecture 6a on Generalized Mixture Models:
- Page 9, the probability of Gaussian distribution needs to be conditioned on both parameters
, not just on mu
. Alternatively, maybe a bold mu could be used to indicate the vector of usual parameters? - Page 14, μ and σ² are not the natural parameters, they're the usual parameters. η is the natural parameter.
- Page 15, the log is missing a closing parenthesis, which should be right after h(yn)