NYU Center for Data Science

JULY 18, 2023

Read about the research groups at CDS working to advance data science and machine learning! CDS includes a range of research groups that bring together NYU professors, faculty fellows, and PhD students working at various intersections of data science, machine learning, and artificial intelligence.

Data Science 98

Data Science Machine Learning Machine Learning Natural Language Processing 98

AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. In this post, we showed cost-efficient training of LLMs on AWS deep learning hardware. Ben Snyder is an applied scientist with AWS Deep Learning.

AWS 130

AWS Machine Learning Machine Learning Deep Learning 130

AWS Machine Learning Blog

OCTOBER 5, 2023

He focuses on developing scalable machine learning algorithms. His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering. Dr. Huan works on AI and Data Science.

AWS 131

AWS Machine Learning Machine Learning Deep Learning 131

ODSC - Open Data Science

JUNE 5, 2023

Be sure to check out his talk, “ Space Science with Python — Enabling Citizen Scientists ,” there! 2009, a paper by Postberg et al. We will have a discussion on how the Open Source community can support astronomers and space scientists in creating next-generation Machine Learning and Data Science tools.

Python 85

Python Machine Learning Machine Learning Data Science 85

AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008.

ML 97

ML ML Deep Learning Deep Learning 97

AWS Machine Learning Blog

JANUARY 30, 2023

It’s designed to work with the existing Python and data science ecosystem such as NumPy and Pandas. When it comes to distributed training, Dask can be used to parallelize the data loading, preprocessing, and model training tasks, and it integrates well with popular ML algorithms like LightGBM. The processed data takes 8.5

Algorithm 106

Algorithm Clustering Machine Learning Machine Learning 106

AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008.

ML 52

ML ML Deep Learning Deep Learning 52