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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How I Beat the Berlin Rental Market With a Python Script

Gianluca Segato

Leveraging web scraping and predictive models to find a good apartment to rent in Berlin.

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AI Means More Developers

Matt Rickard

"Developers that can write code but can’t wrangle dependencies or reason about code quality or maintenance will suffer. On the other hand, experienced developers will take on some of their work (as part of being more productive), and less experienced developers will use AI to deploy work more on par with their work."

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