While Model Trains

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

What Should Data Scientists Learn?

Peter Baumgartner

Asking 'What happens before I do my job?' and 'What happens after I do my job?' can help with choosing what to learn next.

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The overengineered Solution to my Pigeon Problem

Max Nagy

Engaging in a battle against pigeons using OpenCV and a water gun. Spoiler: No pigeons were harmed.

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Why is machine learning 'hard'?

S. Zayd Enam

"The difficulty is that machine learning is a fundamentally hard debugging problem. Debugging for machine learning happens in two cases: 1) your algorithm doesn't work or 2) your algorithm doesn't work well enough."

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