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The NYU Center for Data Science at NeurIPS 2023

NYU Center for Data Science

Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, *Omar Mahmood (PhD alumnus), Andrew Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi “A Logic for Expressing Log-Precision Transformers” : *William Merrill (PhD student), Ashish Sabharwal “A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks” : Vignesh Kothapalli, Tom (..)

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CDS Researchers Make Strong Showing at ICLR 2025

NYU Center for Data Science

Rico Angell (CDS Postdoctoral Researcher) Monitoring LLM Agents for Sequentially Contextual Harm (Building Trust WorkshopPaper) Sam Bowman (CDS Associate Professor of Linguistics and Data Science) Language Models Learn to Mislead Humans via RLHF (Poster) Inverse Scaling: When Bigger Isnt Better (Poster) Beyond the Imitation Game: Quantifying (..)

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CDS Shines at NeurIPS 2023

NYU Center for Data Science

In the world of data science, few events garner as much attention and excitement as the annual Neural Information Processing Systems (NeurIPS) conference. 2023’s event, held in New Orleans in December, was no exception, showcasing groundbreaking research from around the globe.

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How Travelers Insurance classified emails with Amazon Bedrock and prompt engineering

AWS Machine Learning Blog

Increasingly, FMs are completing tasks that were previously solved by supervised learning, which is a subset of machine learning (ML) that involves training algorithms using a labeled dataset. George Lee is AVP, Data Science & Generative AI Lead for International at Travelers Insurance.

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A first step into the ‘Wild West’ of text analytics

Data Science Connect

If data science is the new frontier for businesses, text analytics is certainly the ‘Wild West’. At the upcoming Data Science ATL conference, Sutherland will be talking about the foundations of supervised learning and will dive into how you can make descriptive inferences from text.

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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

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Understanding Random Forest using Python (scikit-learn)

Flipboard

Decisiontrees are a popular supervised learning algorithm with benefits that include being able to be used for both regression and classification as