Showing entries tagged [aiml]

Why are GPUs Exciting for Machine Learning Research?

NVIDIA A100 graphics card

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.

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Free Online Courses for Machine Learning

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,

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Recommended Books for Machine Learning

Stack of machine learning books

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.

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News and information from the Unidata Program Center
News@Unidata
News and information from the Unidata Program Center

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