Welcome Summer Intern Jhamieka Greenwood
28 June 2023
Jhamieka Greenwood joined the Unidata Program Center as a student summer intern on May 29, 2023. After receiving a Bachelor's degree in Chemistry from Florida A&M University, she worked with the Florida Department of Environmental Protection before earning a Master's degree in Computational Science from Florida State University (FSU). Jhamieka is now pursuing a PhD in Computational Science at FSU.
[Read More]Why are GPUs Exciting for Machine Learning Research?
20 April 2023
Machine Learning systems are often configured around Graphics Processing Units (GPUs) rather than Central Processing Units (CPUs). Why should this be the case, in an era when CPUs are powerful and (relatively) inexpensive? This article provides some insights into what GPUs are and why they provide advantages for certain types of computations, including some commonly used for machine learning and modeling.
[Read More]Free Online Courses for Machine Learning
10 April 2023
There are a lot(!) of free online resources available if you want to learn practical machine learning skills, workflows, and processes. This post highlights some recommendations by Thomas Martin, an AI/ML Software Engineer at the Unidata,
[Read More]Unidata To Debut AI-Augmented Tools
01 April 2023
The Unidata Program Center (UPC) software development team has been searching for ways to leverage the technologies behind popular packages like ChatGPT and Stable Diffusion to help Earth Systems Sciences researchers, educators, and students reach scientific conclusions more quickly and with less effort. Augmenting our scientific visualization and analysis packages with modern machine learning features will help you understand environmental conditions — real or imagined! — more quickly and easily.
[Read More]Recommended Books for Machine Learning
22 February 2023
The following are a few of Unidata AI/ML developer Thomas Martin's favorite books on machine learning. These books range from pure theory to hands-on practical Python programming help. They are arranged roughly in order if you are starting your journey into ML, but can also be read out of order.
[Read More]
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