Linear Regression for Machine Learning: an Example
In the previous lesson, we learned about linear regression in machine learning (ML). We understood the basic theory behind linear regression, and we got ready to implement linear regression in a real-life situation using Python in this lesson. We also used an algorithm called Gradient Descent which is an optimization algorithm to find the minimum of a function.
Please read the following lesson first if you are not familiar with linear regression in machine learning.
This lesson is about the linear regression machine learning example. We will use linear regression to solve a stereo vision depth estimation problem for an Autonomous underwater vehicle (AUV). We will also implement vectorization using Python.
You can download the Python code for this problem (lesson5-pycode) at the link below: