Goals: This quarter, we will emphasize hands-on applications of machine learning. To do this, we will be working on some short projects together with the goal of studying a science case in detail and hopefully to extend the analyses in scientifically interesting ways and potentially work on a paper.
Organizers: Tuan Do (@followthesheep), Bernie Boscoe (@bboscoe)
We will based our projects on the following papers:
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Identifying Exoplanets with Deep Learning: A Five-planet Resonant Chain around Kepler-80 and an Eighth Planet around Kepler-90, Shallue et al. (2018)
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Generative adversarial networks recover features in astrophysical images of galaxies beyond the deconvolution limit, Schawinski et al. (2017)
- planets_ml - repository for our planets project
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Hands-On Machine Learning with Scikit-Learn and TensorFlow
- Safari Books Online: http://proquest.safaribooksonline.com/book/programming/9781491962282
- github page: https://github.com/ageron/handson-ml
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Deep Learning by Goodfellow, I.; Bengio, Y.; Courville, A.
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Python Data Science Handbook by VanderPlas, J.
Meetings will take place on Fridays at 1 to 2 PM in PAB-3-703. Room changes will be sent via email.
| Date | Topic | Readings | Presenter |
|---|---|---|---|
| 2018-04-06 | Introductions and Basics | Getting Started | T. Do |
| 2018-04-13 | Intro to SciServer | B. Boscoe | |
| 2018-04-20 | Intro to SciServer & TensorFlow | T. Do | |
| 2018-04-27 | SciServer | ||
| 2018-05-04 | TensorFlow | ||
| 2018-05-11 | Intro to Planets ML (repo) |