Advance Machine Learning MIT

Course description

This course provide a wide discussion of ML topics such as  ML (applications, problems, Probability Theory, basic algorithms), density estimation (estimation, sampling, Exponential Families), Online Learning and Boosting, Kernel machines and Function Spaces, Linear Models, Support Vector Classification, ML methods(Parametric Methods, Multivariate Methods), clustering, Decision Trees, graphical models.

  Courses Code   Courses Name   Courses object   Approved Hours
 ITE04  Advance Machine Learning MIT    3