Gradient Descent Algorithm and Cost Function Understanding

In this tutorial we are going to understand gradient descent algorithm and be familiar with optimization and cost function.

In this tutorial, we are covering few important concepts in machine learning such as cost function, gradient descent, learning rate and mean squared error. We will use home price prediction use case to understand gradient descent. After going over math behind these concepts, we will write python code to implement gradient descent for linear regression in python. At the end I've an an exercise for you to practice gradient descent

Topic Highlights:
1) Theory (We will talk about MSE, cost function, global minima)
2) Coding - (Plain python code that finds out a linear equation for given sample data points using gradient descent)
3) Exercise - (Exercise is to come up with a linear function for given test results using gradient descent)

Credits: Andrew Nagi, Killian Weinberger, Sentdex

#MachineLearning #GradientDescent #CostFunction