Welcome to the session on Gradient Descent.
Gradient descent is an optimization algorithm used to find the values of the parameters (coefficients) of a function (f) that minimizes a given cost function (cost). In this session, you’ll see how the gradient descent algorithm finds the optimal values for the parameters in a linear regression equation.
In this session:
You will study the following topics in detail:
- Optimising Cost function.
- Gradient Descent in Python.
Guidelines for In-Module Questions:
The In video and In content questions for this module are not graded.
People you will hear from in this session:
Subject Matter Expert:
Associate Professor, IIIT- B
The International Institute of Information Technology, Bangalore, also known as IIIT-B, is one of India’s foremost graduate schools. Through its Integrated M.Tech., M.Tech., M.S. (Research) and PhD programs in the IT space, it focuses equally on innovation and education.