While Model Trains

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

Deep Learning ideas that have stood the test of time

Denny Britz

An overview of deep learning breakthroughs that have demonstrated their value over time, from AlexNet in 2012 to GPT-3 in 2020.

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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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An intuition for Attention

Jay Mody

Developing an intuitive understanding of the key feature in the architecture of transformer neural networks.

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