DataHour: Implementing Gradient Descent in Python

DataHour: Implementing Gradient Descent in Python

25 Mar 202309:03am - 25 Mar 202310:03am

DataHour: Implementing Gradient Descent in Python

About the Event

Gradient Descent is one of the fundamental optimization algorithms which is commonly-used to train machine learning models and neural networks. Gradient descent is a first-order iterative optimization algorithm for finding a local minimum of a differentiable function. In Machine Learning, a differentiable function will be our Loss Function.

In this DataHour, Atmakumar will cover how Gradient Descent algorithm works and will further demonstrate how to create a python file and implement Gradient Descent on real world data .


Prerequisites:
 
A basic understanding of Python programming language and interest in Data Science

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Who is this DataHour for?

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About the Speaker

Atmakumar Rai

Atmakumar Rai

Senior Data Scientist

Atmakumar has a total 5+ years of experience in the Data Science domain. He has worked on many Computer vision and NLP Projects. His interest lies in building new Models and Training them. He is currently working as Senior Data Scientist. 

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