Today’s @MLCommons Croissant metadata format release includes the format documentation, an open source library, visual editor, thanks to industry support from @HuggingFace, @GoogleAI Dataset Search, @Kaggle, and @Open_ML.
#ai#ml#datasets
https://t.co/vBJPCeOgI3
🎉TensorFlow Datasets 4.9 is out!
The new version comes with more datasets and extended support for JAX and PyTorch!
Check out the documentation ➡️ https://t.co/IGBj4ZLPnQ
🎉TensorFlow Datasets is turning 4!
Check out all the progress that has been made and how TFDS transformed the datasets landscape ➡️ https://t.co/M8Q1NmnhYC
Aggregate annotations to recover the most likely answer, find out which annotators are trustworthy, evaluate item and task difficulty.
Paper: https://t.co/WG882GlziY
Implementation: https://t.co/hufHcV4Xh2
We are very excited to propose the first #DataCentricAI challenge at #ENSDataChallenge! https://t.co/9bhp5t77Pz. Starting on Jan. 5, 2022, the first results will arrive soon.
What about fighting fraud detection with graph analysis?
I just wrote this article about using personalized page rank to detect rare events like fraud:
https://t.co/lPQ5VLrkK7
What do you think of it? I would love to have some feedback. Thanks!
Just published the new edition of the Best Of AI at Sicara. Efficient way to keep in touch with the latest trends and breakthroughs in AI and Machine Learning. https://t.co/MbE2B989uY
Data science is not just about algorithms, it's also about making data visible and effective. Check out my last experience feedback from a project with data visualization! #dataviz#d3js
https://t.co/H4xut2e3fh
Here is my pick of the best articles of last month. We'll speak of NLP, object detection and ethics in AI. Tell me what you think! https://t.co/7DRXukq0Qr