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Jon Krohn

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Jon Krohn

Linear Regression Fit Point by Point

Added on November 16, 2021 by Jon Krohn.

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.

In Calculus, Data Science, ML Foundations, Professional Development, YouTube Tags machinelearning, datascience, math, calculus
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