• Linear regression is one of the simplest supervised learning algorithms.
• Consider the example of autonomous driving which is a supervised learning problem. The term supervised learning implies that you’re given inputs $$X$$ and the algorithm maps that to an output $$Y$$.
• In case of autonomous driving, $$X$$ is a picture of what’s in front of the car, $$Y$$ is the steering direction.
• Particularly, that was a regression problem because the output $$Y$$ is a continuous value; as opposed to a classification problem, where $$Y$$ is the speed.