Lecture 2 (Part 1) - Linear Regression - Machine Learning Course
Machine Learning course taught by Dr. Mohamed-Rafik Bouguelia, at Halmstad University, Sweden.
This lecture of the machine learning tutorial is about supervised machine learning and more specifically linear regression in machine learning. It explains how to train a linear regression model and use it to make predictions. It introduces the gradient descent algorithm and shows how to optimize the "mean squared error" cost function with gradient descent, as well as without using gradient descent (with the normal equation).