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bendraves.bsky.social
ML Scientist @Uber in🗽🚕 Working on RecSys /CausalML 📈🪄 PhD Stats. BS in Math. 👨‍💻📚 Running long distances, reading long books. Find me here dravesb.github.io
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What app are folks using for e-readers these days? I’m a physical book + digital notes guy but the confines of my Manhattan apartment is causing me to start buying digital - any recommendations?

So locked in open.spotify.com/track/11AEDk...

I’ve been implementing some time series type estimates at work this week and man oh man the indexing / naming conventions have me 😵‍💫😵‍💫😵‍💫

Got an email, "Thank you for coverage․py." I immediately thought, "they're going to want something, or complain about something." Nope! It was all positive. Ended with "Thanks again for this awesome Python contribution!" If you like what someone has done, tell them!

Getting a new laptop Monday - so excited to set up everything “right” this time only for it to explode immediately.

I was agonizing over why our SPR performance took a nose dive last week. Spent times in the logs, staring at feature values, investigating the FPR. The front end was using rankings[::-1] not rankings 🙃 Sometimes the 10x work is not trusting a thing that comes out of the API.

I forgot how nice it is to open an app and be flooded with cool ML/Stats-y stuff. Bluesky has big happy hour at a conference vibes and it’s 👌

I made one for stats papers

I’m revisiting some original RecSys papers in prep for a new team-member joining and the figures in the original GroupLens paper are just so 🔥 dl.acm.org/doi/10.1145/...

Network growth models that accommodate starter parks (e.g. vertex —> block edge expansions) is already so fascinating me.

Hey folks👋 My name is Ben and I’m a Data Scientist at Uber working on RecSys and CausalML. I’m a proud statistician with interests in matrix analysis and graph inference. I live in NYC where I enjoy running long distances and reading a bit of everything. Find me here dravesb.github.io!