While Model Trains

Read data blog posts.
Carefully handpicked.
Presented 3 at a time.

How much data should you allocate to training and validation?

Francesco Pochetti

To avoid responding with "that's what Andrew NG said" when asked about the reason behind choosing an 80% training and 20% validation split, consider this explanation.

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Sandwich Data Science 2: Electric Boogaloo

Ethan Rosenthal

A good old linear regression and Italian food. What more could you ask for?

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Why Open-Source a Model?

Matt Rickard

A compilation of several examples that illustrate the motivation behind open sourcing a machine learning model.

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