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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Nitpicking Machine Learning Technical Debt

Matthew McAteer

25 best practices to mitigate technical debt in machine learning.

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From both sides now: the math of linear regression

Katherine Bailey

A journey starting from the standard formulation of linear regression, moving on to the probabilistic approach, and then progressing to Bayesian linear regression.

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