While Model Trains

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

Variance after scaling and summing: One of the most useful facts from statistics

Chris Said

"What do R2, laboratory error analysis, ensemble learning, meta-analysis, and financial portfolio risk all have in common? The answer is that they all depend on a fundamental principle of statistics that is not as widely known as it should be. Once this principle is understood, a lot of stuff starts to make more sense."

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Evolution of ML Fact Store

Vivek Kaushal

How Netflix designed Axion, their fact store utilized for computing ML features online, and the lessons learned throughout the process.

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Elbows of data

Katie Bauer

"Companies may not be sure how to best incorporate data teams into their processes of value creation, but that doesn’t mean we can’t elbow our way in."

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