While Model Trains

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

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.

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The dangers behind image resizing

Marco Venturelli

"It is essential to carefully choose the library you want to use to perform resize operations, particularly if you're going to deploy your ML solution."

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What is machine learning engineering?

Vicki Boykis

A modern data fairy tale highlighting the importance of mundane tasks in machine learning engineering.

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