While Model Trains

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

Why do we minimize the mean squared error?

Alex Molas

A refresher on the theory behind Mean Squared Error.

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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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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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