With this new video, the past months of my "Calculus for Machine Learning" videos all start to come together, enabling us to apply the simplest ML model: a regression line fit to individual data points one by one by one.

This simple regression model will enable us, in next week's video, to derive the simplest-possible partial derivatives for calculating a machine learning gradient.

We publish a new video from my "Calculus for Machine Learning" course to YouTube every Wednesday. Playlist is here.

More detail about my broader "ML Foundations" curriculum and all of the associated open-source code is available in GitHub here.