Die ersten 30 Minuten 👇 Vorlesungsgesprächs zu Einsteins Relativitätstheorie sind didaktisch wirklich brillant und man kann sie nur jedem empfehlen, der die Allgemeine Relativitätstheorie eher intuitiv verstehen will. 1/10
@vboykis True story. It's all related and the more you learn the more freedom you get. As a data scientist I enjoy working with data and building models but most rewarding part is when implementing ideas into dynamic web apps. Learn web dev 👍
THIS IS BIG! 👀
It's now possible to take any of the >30,000 ML apps from Spaces and run them locally (or on your own infrastructure) with the new "Run with @Docker" feature. 🔥🐳
See an app you like? Run it yourself in just 2 clicks🤯
@hxiao Hey, I wrote an article on how to use chatgpt api and I mentionned your tweet so that people don't rush to switch to this new model for production without careful testing.
No labeled data? No problem.
The 🤗 Transformers master branch now includes a built-in pipeline for zero-shot text classification, to be included in the next release.
Try it out in the notebook here: https://t.co/31Z6LR1NjK
Here's my beginner intro to exploring missing values, in case any DS teachers want some drop-in material (lecture+learnr tutorial feat. @nj_tierney's naniar) 💗
👾learnr tutorial: https://t.co/H38yTEHQKC
⏯️Slides: https://t.co/CYTu52IBnL
📽️Video: https://t.co/EFqBiRM8JH
I'm excited to finally share with you a four-part blog post series I've been working on in the last few months.
They all answer one question:
Which color scale should you use for which data?
Part 1 gives the overview I always wished I could link to:
https://t.co/lAUySvdvb3
Understanding Word Embeddings- #rstats#webinar planned for this Thursday June 4th (6:00pm UTC).
@juliasilge a data scientist and software engineer at @rstudio, a co-author of Text Mining with R (https://t.co/KzIeD7X6ul) will be the speaker this week!