While Model Trains

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

Recommendations

Simon Hørup Eskildsen

Cool explanation of computational aspects of recommendations avoiding to "get lost in the weeds of linear algebra".

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Effective testing for machine learning systems.

Jeremy Jordan

"Effective testing for machine learning systems requires both a traditional software testing suite (for model development infrastructure) and a model testing suite (for trained models)."

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It's ML, not magic: simple questions you should ask to help reduce AI hype

Stephen Merity

A series of questions to maintain control over the hype surrounding AI. Always more relevant.

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