Demystifying machine learning
This mini-workshop will be based on the on the digital book HelioML
It is best to download the Helio ML book to get the notebooks and dataset that will be used.
Preparation
To prepare for the upcoming mini-workshop please follow the Python installation instructions.
Agenda
| Task | Resources | |
| 0 | Briefly (10 minutes) discuss: What is machine learning? And what are your concerns about machine learning? |
Group discussion |
| 1 | Work together through example: fitting time series | HelioML chapter, notebook |
| 2 | Introduce HelioML: motivation, contents | HelioML chapter |
| 3 | Show “What is Machine Learning?” | PDSH* notebook |
| 4 | Show “In Depth: Support Vector Machines” | PDSH* notebook |
| 5 | Work together through part of example: predicting CMEs | HelioML chapter; notebook |
*PDSH = Python Data Science Handbook by Jake VanderPlas, freely available on GitHub
Contacts
James Paul Mason, @starfleetjames
Time
Friday 2018-11-02 from 09:00-10:30
Location
Augustinus Room
