Lectures related to Gaussian Process Regression: Probabilistic Linear Regression

Related lectures (32)

Covers logistic regression, likelihood function, Newton's method, and classification error estimation.

Covers the theory behind Maximum Likelihood Estimation, discussing properties and applications in binary choice and ordered multiresponse models.