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Quad-tum mechanics

GO FOR GOLD
Olympian mechanics
These stunning compilations of video and data visualization make it clear just how much speed U.S. Olympic figure skater Nathan Chen needs to pull off a quad jump or snowboarder Chloe Kimneeds to land back-to-back 1080 spins on the half-pipe. - New York Times

ENTER THE VOID
Visualizing Incomplete and Missing Data
The next time you’re handed a messy dataset (probably tomorrow), consider exploring and exposing those gaps, rather than ignoring them. - FlowingData

READING LIST
[THREAD] How computer vision and natural-language processing systems reflect societal stereotypes
A rabbit hole worthy of your time: various types of machine learning bias as tracked by academic papers. - Arvind Narayanan

JUST SAY NO
So, How Many ML Models You Have NOT Built?
“What will put us out of our job is Machine Learning Overkill. I have seen implementation of Machine Learning algorithms to very frivolous problems and worse still the companies have invested heavily into the idea. It is a ticking time bomb. The moment the companies realize that the ROI is negative, they will shun the Data Science practice altogether.” - Towards Data Science

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“Group By” in SQL and Python: a Comparison
To Python or not to Python? The language you pick all depends on your goals.

PyMode: Typed interactions with the Mode Analytics API
A pip-able Python wrapper for Mode’s API! (Say that three times fast).

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