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]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]Announcing a New eLearning Course: Learn Python-AWIPS
21 September 2022
In this week’s AWIPS Tips, we’re announcing a new eLearning course, Learn Python-AWIPS. This is an asynchronous web course that can be accessed on demand at Unidata eLearning. All of our educational resources are also available on our website.
[Read More]Unidata is Looking for an AI/ML Software Engineer
27 October 2020
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.
[Read More]Students: Tell Unidata What You Need for Remote Learning
23 October 2020
Unidata is looking for graduate and undergraduate students in the geosciences to share their views on remote learning environments. The Unidata Users Committee and Unidata Program Center staff want to hear about your experiences, needs, and wishes for remote learning during a special online discussion session.
The panel discussion will be held be from 1:00 to 1:55 PM MST on November 13, 2020. We're hoping to have roughly six students representing a variety of atmospheric science and related programs share their thoughts about what works well in remote learning situations, what doesn't work, and what might be done to improve the experience. Each student will have a short opportunity (3-4 minutes) to share their experience, followed by a dialogue with the Users Committee. A synthesis of the discussion will be shared with the Unidata community to communicate lessons learned.
[Read More]
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