Great @BBayesians meetup tonight: Large turnout for a talk by @twiecki. Thanks to @mexiamorelli for the organization!
Presentation showed how a model can be iteratively tuned to fit the business problem, recapped why Bayesian modeling can be a great fit for business use cases.
@seanjtaylor This presentation by Fernanda Viégas and Martin Wattenberg from 2011 features data visualizations with a focus on repetitions and motifs (music, text, Wikipedia usage). Just watched it, thought you might like it: https://t.co/v0b5Zn9ZAV
Very excited the Berlin Bayesians meetup is happening again *in-person*! And the topic of Buy 'Til You Die models is one of my all-time favorites, looking forward to @juanitorduz's take on them👌
We’re back for our first in-person meetup since 2020 🎉! @juanitorduz will be joining us to introduce consumer behavior models (BTYD) and their implementation in PyMC. This event will be hosted by HelloFresh 🍋. More info: https://t.co/9EGD7D9cf7
Kick-off with @ogrisel presenting a notebook introducing different strategies to leverage time-related features for a bike sharing demand regression task. https://t.co/cKeiIa2f49
#timeseries#euroscipy@EuroSciPy 22, Basel 🇨🇭
“Calling if() or while() with a condition of length greater than one gives an error rather than a warning.”
Can’t say that I’ve been reading the R changelog much in the past, but if it’s always that good I sure will going forward. This is great news!
https://t.co/fLavvHCnZ4
ML systems debugging rewards a willingness to dig across the entire stack, to chase a slightly suspicious signal back to its source, and to derive chains of failures from surprising end results. High cognitive burden but also some of the most exhilarating work upon success.
@canyon289@mihagazvoda@PyData That's the way to go for presentations! Lesson for me: It's only live once, next time then. But: This way I can keep pretending that you only said kind things about Minimize Regret. ;)
@seanjtaylor I've been watching a couple of your talks--thanks for never presenting the same talk twice, learning something new every time! You mentioned your interest in model evaluation and continued quality control. Have you been reading something worth sharing?
@ChelseaParlett Spotify's annoy (https://t.co/QG6CyyDUDi) in case recommendation makes for a valid example. "After running matrix factorization algorithms, every user/item can be represented as a vector in f-dimensional space. This library helps us search for similar users/items."
Another week, another #F1 qualifying result: Pérez less than a car length ahead of Leclerc. Big gap between Red Bull/Ferrari and the rest of the field.