While Model Trains

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

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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It's ML, not magic: simple questions you should ask to help reduce AI hype

Stephen Merity

A series of questions to maintain control over the hype surrounding AI. Always more relevant.

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Data science preflight checklist.

Alex Molas

A list of safety checks to perform before starting a new data science project.

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