While Model Trains

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

What Should Data Scientists Learn?

Peter Baumgartner

Asking 'What happens before I do my job?' and 'What happens after I do my job?' can help with choosing what to learn next.

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Effective testing for machine learning systems.

Jeremy Jordan

"Effective testing for machine learning systems requires both a traditional software testing suite (for model development infrastructure) and a model testing suite (for trained models)."

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Prediction intervals for Random Forests

Ando Saabas

Prediction intervals are commonly used for linear models but are often underused for random forests. Leveraging the fact that a random forest can provide a conditional distribution instead of just the conditional mean makes prediction intervals relatively straightforward to use in this context.

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