Supervised Machine Learning Readiness

Approved: Yes
Title: Supervised Machine Learning Readiness
Category: Learning
Skill Level:
Beginner (304)

Description:
Supervised Machine Learning Readiness is a self-paced, beginner-friendly
program designed for Earth systems scientists to explore the core principles
of supervised machine learning. This series uses a combination of
step-by-step frameworks, exploratory widgets, and low-code exercises in
Jupyter Notebooks, to explore the full cycle of machine learning model
development. No programming experience is required. By the end of the series,
you will be able to recognize when machine learning is an appropriate tool
and critically evaluate machine learning in Earth systems science contexts.
Access requires a free NSF Unidata eLearning account.



Link to Resource:
- Supervised Machine Learning Readiness (https://elearning.unidata.ucar.edu/course/view.php?id=13)

Tags:
supervised-learning (803), machine-learning (272), atmospheric-physics (870), earth-sciences (872), workforce-development (337), jupyterhub (214)

Domain:
At-Large (345)

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