Linear Regression Tutorial Using Gradient Descent for Machine Learning

Last Updated on August 12, 2019

Stochastic Gradient Descent is an important and widely used algorithm in machine learning.

In this post you will discover how to use Stochastic Gradient Descent to learn the coefficients for a simple linear regression model by minimizing the error on a training dataset.

After reading this post you will know:

• The form of the Simple Linear Regression model.
• The difference between gradient descent and stochastic gradient descent
• How to use stochastic gradient descent to learn a simple linear regression model.

Kick-start your project with my new book Master Machine Learning Algorithms, including step-by-step tutorials and the Excel Spreadsheet files for all examples.

Let’s get started.

Tutorial Data Set

The data set we are using is completely made up.

Here is the raw data. The attribute x is the input variable and y is the output variable that we are trying to predict. If we got
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