Summer of ML 2021 - Day2

AIML Clue IIT Delhi

Topics Covered:

• Introduction to ML
• Multivariable Calculus - Gradient, Hessian, Jacobian
• Gradient Descent Algorithm
• Linear Regression

Credits: some of the material has been taken from Andrew Ng's CS229 course at Stanford University and the matrix calculus cookbook is taken from Petersen & Pedersen.

Visualization

Credits Gautam-J/Machine-Learning

Linear Regression

Gradient Descent