IKH

Introduction

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:

Dinesh J Babu

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.

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