Slides for my talk about Bayesian Workflow with PyMC3 and ArviZ https://t.co/HFYJBJeqgn with accompanying code and notebooks on Github https://t.co/lejg2v1aSy
@RVAwonk Over on mastodon, @CT_Bergstrom did a long Thread how this paper is badly done and doesn’t support the conclusions they’re making
https://t.co/EimCfhYHJt
After months of declining follower counts, some state-affiliated media outlets on Twitter started to gain more followers, all around the same date. Here's the sudden shift of an account from Russia's RT, beginning a period of follower growth March 28 and onwards:
And some hard truths for data scientists: we need to deliver value. We need to be mindful of business value, efficiency and communication. Too often DS teams are just very costly without much ROI
The “zoo of titles”. Are you actually a data scientist or rather a data translator? Or ML engineer? Or an analyst? Who knows….
Great point by Noa Tamir that this also has adverse effects on job satisfaction & career development 🤔
#PyData#PyConDe@PyConDE 🐍
It’s starting! 🤩 my first PyData con since 2019! 🐍 I’m soo pumped and looking forward to talk and learn all things Python and data the next three days 🤓#pydata#pyconde23
@TMrtSmith@vboykis Our team started using airflow some months ago and I still secretly hope we switch to metaflow 🫠 at the same time, migrating is really the last thing I wanna do… too much pain. I just wanna complain about a different *flow
Tell me your title, I'll tell you your job:
DS - Feeding daily metrics into Airflow
MLE - Feeding batch model updates into Airflow
MLOPs - Airflow
AI Researcher - Figuring out how to get to Airflow
@HamelHusain I remember a few occasions where our problem was the other way round: some SW engineer had helped out with our DS/ML code but didn’t know pandas and reimplemented a bunch of inbuilt pandas functions with inefficient for loops 🫠
@Glennwithtwons@robmarkcole@HamelHusain Second this. Even when most of the time I’m just doing SWE, every once in a while I’m faced with a problem that requires a good intuition & deeper knowledge of the data and model at hand