facebook core data science
Joined February 2019
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Ben Letham retweeted
😂 I hope this is the start of a trend for promoting papers
If AI papers were pharmaceuticals: Do you suffer from high-dimensional Bayesian optimization? Watch this commercial to understand how our #NeurIPS2020 paper can help you get back to living your life! youtu.be/fbEwVxXYSok
Ben Letham retweeted
At Mozilla, we’ve noticed a recent increase in desktop usage of @Firefox.
Because this data may have some value to researchers investigating #SocialDistancing measures, we're releasing a dataset to support this collaborative effort.
mzl.la/3dOYoV4
Ben Letham retweeted
Of all the things that shocked me in grad school, I still find it really shocking that no one is doing code reviews in science. It was the clearest sign that people were fundamentally uninterested in how the sausage got made — but so much of what’s important was in those details.
Ben Letham retweeted
🎉Prophet v0.6 is now out for Python and R.🎉
Props to @_bletham_ who did the majority of the work and to Chris Suchanek who did the cmdstanpy integration.
Github: github.com/facebook/prophet
CRAN: cran.r-project.org/web/packa…
PyPI: pypi.org/project/fbprophet/0…
Docs: facebook.github.io/prophet/
Ben Letham retweeted
Interested in large-scale, rapid experimentation in the Internet industry? There are multiple sessions tomorrow at #jsm2019 on the topic. I'm moderating this panel with experts from FANG in CC-703. Will dig into statistical, computational, and practical issues.
Ben Letham retweeted
📈Long thread on how Prophet works📈
- Instead of sharing slides I'm transcribing my QCon.AI talk to tweets with lots of GIFs :)
- Thanks to @_bletham_ for all his help.
Ben Letham retweeted
Some of the most exciting work at Facebook in the last year: combining expensive sources of measurement (A/B tests) with much cheaper sources (offline simulations) in order to optimize policies. Great work @_bletham_ and @eytan! ai.facebook.com/blog/online-…
