Biased Outliers

6,000+ member Data Science user group based out of New York City. Meetup:

[Jeremy Howard @jeremyphoward]

I used to find writing CUDA code rather terrifying. But then I discovered a couple of tricks that actually make it quite accessible.

In this video I introduce CUDA in a way that will be accessible to Python folks, & I even show how to do it all in Colab!
https://t.co/WGXXctbalv

[Kirk Borne @KirkDBorne]

This repository can help you become proficient in #TimeSeries Analysis and #Forecasting with 15+ projects / techniques: https://t.co/Dn4xVbFdjr by @NainaChaturved8
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#Statistics #DataViz #SQL #Finance #PredictiveAnalytics #DataScience #DataScientists #Analytics #DataLiteracy

[Refik Anadol @refikanadol]

Dear friends,
Today, I am so excited to share our Studio’s groundbreaking project, the Large Nature Model - the world’s first open-source, generative AI model focused on Nature. This model, built from an extensive, ethically sourced natural world dataset, is central to our ambitious DATALAND project. DATALAND is a unique museum and Web3 platform dedicated to data visualization and AI art. It’s a collaborative effort, bringing together pioneers in diverse fields including the arts, scientific researchers, institutional archives, and advanced technology under the artistic leadership of Refik Anadol Studio.

Here at the World Economic Forum, we’re presenting “Living Archive: Nature,” an installation featuring the Large Nature Model’s early artistic experimentations based on the Large Nature Model, blending visuals, sound, and scent. These initial explorations will continue to evolve into large-scale artworks and exhibitions, starting with our first solo show next month at Serpentine in London! Please join our community at https://t.co/5UrOme4Xvb

[Kirk Borne @KirkDBorne]

This repository has everything you need to become proficient in #TimeSeries Analysis and #Forecasting with 20+ projects: https://t.co/Dn4xVbFdjr by @NainaChaturved8
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#PredictiveAnalytics #Analytics #DataScience #MachineLearning #DataScientists #Statistics #DataViz #Finance #BI

[Michael Pyrcz🌻 @GeostatsGuy]

Are you working in #DataScience, #DataAnalytics, & #MachineLearning?

Want to deepen your understanding of #Bayesian methods? I'm happy to help!

Join me for my brand-new #YouTube walk-through of Sivia's (2006) Bayesian coin @ https://t.co/1MBzenqxZX with linked code! Part of my new "Data Science Interactive Python Demonstrations" series! Accessible data science education for all!

[Adityam Ghosh⚡ @d97tum]

Yeah, if anyone wants to work on on-device AI, the papers written by Apple could be a great starting point.

[Biased Outliers @BiasedOutliers]

🚨Predict Energy Behavior @kaggle

#kaggle #datascience

https://t.co/1P5bAZxrZO

[Andrew Ng @AndrewYNg]

I’m teaching a new course: Generative AI for Everyone, which is coming soon!

Learn how Generative AI works, how to use it in professional or personal settings, and how it will affect jobs, businesses and society. This course is accessible to everyone, and assumes no prior coding or AI experience. Please join the waitlist to be among the first to know when it goes live!

https://t.co/8JwOYFs0LJ

[merve @mervenoyann]

Thrilled to announce that the tutorial on Segment Anything Model by me & @RisingSayak is now released in Keras examples 🤗🖼️ https://t.co/0lvWt4L7hx

[Serena📚 @ds_serena_]

How to Easily Draw Neural Network Architecture Diagrams https://t.co/3QXOfayieL

[Andrew Ng @AndrewYNg]

1/Thrilled to announce: 3 new Generative AI courses!
* Building Systems with the ChatGPT API, with OpenAI’s @isafulf
* LangChain for LLM Application Development, with LangChain’s @hwchase17
* How Diffusion Models Work, by @realSharonZhou
Check them out: https://t.co/IN454k1Wz6

[Weights & Biases @wandb]

🔥 If you're in SF, join @OpenAI, @NVIDIAAI, @langchain, @AWSCloud, and many others excited about the work on LLMs for this one-day conference on June 7th. #machinelearning #llm

[Philipp Schmid @_philschmid]

📣 Exciting News! Falcon Models from TII are now under the Apache 2.0 License! 🚀 🔓

You can now leverage the best-performing open source models in commercial projects. 🙌 🦅

👉 https://t.co/SJsSgSn4SE

[Adityam Ghosh⚡ @d97tum]

🔍 Just replicated the Dense Passage Retrieval (DPR) paper! 📚💻

After countless hours of hard work, I've successfully implemented the DPR model published by Facebook. 🎉🔥

Check out the code in this Google Colab notebook: https://t.co/I70CajBFcQ

#DPR #research #AI #IR

[Cohere @cohere]

1/ 📢The future of NLP education is here!

We are proud to announce the official launch of LLM University (LLMU) 🏫

🧵
https://t.co/StlVeZHY4V

[MIT CSAIL @MIT_CSAIL]

What is the best textbook you’ve ever read?

[Hugging Face @huggingface]

We just released Transformers' boldest feature: Transformers Agents.

This removes the barrier of entry to machine learning

Control 100,000+ HF models by talking to Transformers and Diffusers

Fully multimodal agent: text, images, video, audio, docs...🌎

https://t.co/OILVxIX44I

[Scott Condron @_ScottCondron]

New mini course!
Weights & Biases 101

https://t.co/T5hlNIfVm9

We put together a series of short videos to help you learn how to use @weights_biases to track, visualize and optimize your machine learning experiments.

What you'll learn:
- how to add W&B to your code to track every time you run it
- how to track hyperparameters, training logs, evaluation results etc.
- how to use the W&B UI to organize and analyze your work
- how teams use W&B to improve productivity, visibility and reproducibility

Reasons people love W&B:
- it's built for teams doing machine learning at scale
- it's easy to use
- it's customizable

Get started:
https://t.co/T5hlNIfVm9

[Cohere Labs @Cohere_Labs]

How can we evaluate toxicity when our understanding of toxicity and ways to curb it using black-box APIs 📦are ever-evolving? ♻️

Our recent research gives recommendations for a structured approach to evaluating toxicity over time. ⏳

Learn more: https://t.co/aEm8kEBJ3a