Working on RecSys /CausalML 📈🪄
PhD Stats. BS in Math. 👨💻📚
Running long distances, reading long books.
Find me here dravesb.github.io
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!
It does feel like
RAG -> Variable Selection
CoT -> Boosting
sure there are others too…
It does feel like
RAG -> Variable Selection
CoT -> Boosting
sure there are others too…
select user, song, count(*)
from plays
group by 1, 2
order by 3 desc
Always has been. Always will be.
select user, song, count(*)
from plays
group by 1, 2
order by 3 desc
Always has been. Always will be.
Nope! It was all positive. Ended with "Thanks again for this awesome Python contribution!"
If you like what someone has done, tell them!
Nope! It was all positive. Ended with "Thanks again for this awesome Python contribution!"
If you like what someone has done, tell them!
The front end was using rankings[::-1] not rankings 🙃 Sometimes the 10x work is not trusting a thing that comes out of the API.
The front end was using rankings[::-1] not rankings 🙃 Sometimes the 10x work is not trusting a thing that comes out of the API.
What we want vs what is good for us can oftentimes be two different things.
What we want vs what is good for us can oftentimes be two different things.
With GroupLens, users may choose to read articles only from a small group with whom they share many common interests. Over time this could lead to a fracture of the global village into many small tribes, each forming a ... community ... isolated from each other.
With GroupLens, users may choose to read articles only from a small group with whom they share many common interests. Over time this could lead to a fracture of the global village into many small tribes, each forming a ... community ... isolated from each other.
dl.acm.org/doi/10.1145/...
dl.acm.org/doi/10.1145/...