Showing entries tagged [machine]

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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Unidata is Looking for an AI/ML Software Engineer

 Unidata

Unidata is looking for an Artificial Intelligence/Machine Learning (AI/ML) developer to join our team, helping educators and students learn how to use Unidata software and data services to support their scientific research.

In this role, you'll interact with Unidata's community of researchers and educators to determine how they are harnessing AI/ML approaches to data analysis, and work toward a convention for storing data and metadata in an AI/ML ready way. In addition, you'll help evaluate existing tools such as the MetPy and Siphon python libraries and the netCDF libraries for fitness in the context of AI/ML applications. Your work will help identify and implement improvements that allow for smoother integration of Unidata software into a modern AI/ML pipeline.

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

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