While Model Trains

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

The AI Hierarchy of Needs

Monica Rogati

"Think of AI as the top of a pyramid of needs. Yes, self-actualization (AI) is great, but you first need food, water and shelter (data literacy, collection and infrastructure)."

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Finding bad flamingo drawings with recurrent neural networks

Colin Morris

Using Sketch-RNN as a probability estimator to identify the worst sketches of flamingos in 'Quick, Draw!'.

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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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