Elements of Statistical Learning

Elements of Statistical Learning (ESL | INK7003P)

Description: The purpose of this module is to provide an appropriate level of understanding of Statistical Learning presented in the framework of Bayesian Decision theory. It will be explained how to use linear models for regression and classification as well as Kernel Methods, graphical models and approximate inference.

This module is taught at KCL.


Year: 1 | Semester: A | Level: 7 | Credits: 0

Course organiser: | Course deputy:

Juno Champion

The school holds Juno Champion status, the highest award of this IoP scheme to recognise and reward departments that can demonstrate they have taken action to address the under-representation of women in university physics and to encourage better practice for both women and men.