This repository contains a summary of Lecture 13 in the course, CS 419 - Introduction to Machine Learning by Prof. Abir De of the Department of Computer Science & Engineering.
- Nonlinear Models in ML
- Practical Machine Learning
- Definition of Gradient Descent
- Proof of Convergence of Gradient Descent for Convex Losses
- Role of Regularisation in improving convergence
- Formulation of the Gradient Descent update as an Unconstrained Optimisation Problem