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This series of tutorials is part of the 2024 Python in Heliophysics Summer School held May 20-24, 2024.
| Session | Lecture Topic | Link | Timing |
|---|---|---|---|
| Session 1 | Introduction | ||
| Session 1A | What is Machine Learning? | Link | 15 min. |
| Session 1B | How does Machine Learning work? | Link | 15 min. |
| Session 2 | Examples: ML Models | ||
| Session 2A | Clustering | Link | 20 min. |
| Session 2B | Decision Boundary | Link | 20 min. |
| Session 2C | Decision Boundary using TensorFlow | Link | 20 min. |
| Session 2D | Classifier | Link | 20 min. |
| Session 3 | Data Science Workflow | Link | 15 min. |
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).
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
- "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/
- "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/