SSA Workshop Data Mining and Cloud 101 (2024)
Contents
SSA Workshop Data Mining and Cloud 101 (2024)#
This workshop will introduce participants to cloud computing, from concept and best practices to practice, for two main approaches of data mining in seismology: correlation seismology and machine learning. Participants will learn how to port their Python scripts from their laptops to the cloud, analyze their intermediate data products, and download the final data product. Participants will learn ambient noise seismology software noise and run it on cloud-hosted data sets of broadband seismometers and distributed acoustic sensing data. Participants will learn machine learning in seismology (earthquake catalog building and data discovery of various geohazards). The workshop curriculum is supported by the NSF project SCOPED.
Schedule#
Time |
Topics |
Instructors |
Link to notebook or slides |
|---|---|---|---|
9:00-9:30m |
Welcome |
Marine Denolle and Felix Waldhauser |
|
10:00-11:15am |
Cloud 101 |
Yiyu Ni, Zoe Krauss, Marine Denolle |
|
11:15-12:30 |
Ambient Noise |
Yiyu Ni, Kuan-Fu Feng, Marine Denolle |
|
12:30 - 1:30pm |
Lunch Break |
||
1:30 - 2:30 pm |
QuakeCatalog Building |
Kaiwen Wang |
ML Workflow - Lamont |
2:30 - 3:30 pm |
Event Discimination with ML |
Akash Kharita |
ML-Detect |
3:30 - 3:40 pm |
Coffee Break |
||
3:40 - 5:00pm |
Unsupervised Learning |
Theresa Sawi |
SPECUFEX |