The Math Behind Machine Learning
Explore how supervised learning uses mathematical approximation to map input data to output labels. This lesson explains the training and prediction phases using a solar power example, helping you grasp how machine learning models understand and predict real-world data patterns.
We'll cover the following...
A supervised learning system exploits a mathematical concept to understand the relationship between a piece of data and its label. It is the idea of approximating a function. Let’s see how that idea works, with a concrete example.
Example of solar power prediction
Let’s imagine that we have a solar panel on our roof. We want a supervised learning system that learns how the solar panel generates energy and predicts the amount of energy generated at some time in the future.
There are a few variables that impact the ...