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CS 419 - Notes for Lecture 13 by Prof. Abir De

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.

Content Covered

  • 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

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Summary of the content covered in Lecture 13 of the course, CS 419 - Introduction to ML, taught by Prof. Abir De, IIT Bombay

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