While Model Trains

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

Why is DevOps for Machine Learning so Different?

Ryan Dawson

A detailed analysis of the differences between MLOps and traditional DevOps.

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Why software projects take longer than you think: a statistical model

Erik Bernhardsson

"People estimate the median completion time well, but not the mean."

Read it!

Writing Robust Tests for Data & Machine Learning Pipelines

Eugene Yan

An in-depth analysis of why certain types of tests break more frequently than others, along with suggestions for creating more robust pipeline tests.

Read it!