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An ML algorithm encounters 原宿

July 01, 2018 in tweetstorms

I use this app which is the Japanese equivalent of Mint to aggregate and categorize transactions from all the cards/accounts/etc, and because machine learning, 30 transactions for “Starbucks Harajuku” got flagged as “fashion”, to the great amusement of my wife.

Harajuku’s four industries: fashion for young Japanese women, tourism for 20-something foreign tourists, extremely sugary snacks, and tech startups. (No really; that last one is legitimately why we put our office there.)

I wonder if I’m second guessing a computer which would say huffily “OK human it is literally the case that more receipts I see with Harajuku on it are fashion that receipts I see with Starbucks are for coffee can you even math human they are a diversified lifestyle brand.”

(Reposted from Twitter.)

Originally written: July 01, 2018

About the author

Patrick McKenzie photo Patrick McKenzie (patio11) has run several software companies, led national shadow digital infrastructure, worked in the tech industry, and writes about financial infrastructure.

Who am I?

My name is Patrick McKenzie (better known as patio11 on the Internets.)

Twitter: @patio11 HN: patio11

Bits about Money

I write Bits about Money, a biweekly-ish newsletter on the intersection of tech and finance.

Complex Systems

I host the Complex Systems podcast, a weekly conversation about the technical and human factors underlying infrastructure.

© Patrick McKenzie (Kalzumeus Software, LLC) 2006 - 2025.

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