helioanalytics/aiml_class

Training materials on AI/ML in Heliophysics

Center for HelioAnalytics

Machine Learning Tutorial

Brought to you by:

This series of tutorials was developed for the 2024 Python in Heliophysics Summer School held May 20-24, 2024. They have been adapted for use as a self-guided learning course.

Machine Learning Tutorial Course Materials

Session	Lecture Topic	Link	Timing
Session 1	Introduction
Session 1A	What is Machine Learning?	Link
Session 1B	How does Machine Learning work?	Link
Session 2	Examples: ML Models
Session 2A	Clustering	Link
Session 2B	Decision Boundary	Link
Session 2C	Decision Boundary using TensorFlow	Link
Session 2D	Classifier	Link
Session 3	Data Science Workflow	Link

Use and Dependencies

These materials were developed for the summer school students, but are intended to function as stand-alone lessons freely to be used by anyone.

The lessons use the following packages: numpy, pandas, matplotlib, and tensorflow (keras).

Acknowledgments

These course materials were developed by the Center for HelioAnalytics (CfHA) with the support of funding from NASA. We request that any subsequent use acknowledge CfHA.

The course materials were derived in part from the 2022 NASA EPSCOR Hack Week hosted by West Virginia University.

In adddition to the Center for HelioAnalytics team members, we want to acknowledge the following authors for their major contributions to these course materials:
Evana Gizzi, Ph.D., AI Researcher NASA GSFC
Richard Licata, Ph.D., Data Scientist, CACI International

Additional Resources

Books and texts

• "The Python Data Science Handbook" by Jake VanderPlas https://jakevdp.github.io/PythonDataScienceHandbook/
• "HelioML: Machine Learning, Statistics, and Data Mining for Heliophysics" by Monica Bobra and James Mason https://helioml.org/

Online articles

• "Towards Data Science" has many articles for beginners to advanced levels on coding and development: https://medium.com/towards-data-science/
• "KD Nuggets" was started by a space scientist turned data scientist (Kirk Borne). A great way to keep up on what's happening in data science: https://www.kdnuggets.com/