General development of new methods and applications in the field of data analytics and machine learning are appearing at an increased speed. The use of these techniques in the field of scientific installations is also growing rapidly. Some examples of applications are anomaly detection, better diagnostics, automatic control, improved performance, optimization of engineering designs or procedures, automated data extraction and analysis from logbooks/logs, coding assistants, etc. The workshop will give an opportunity to learn some of the fundamental concepts underlying the tools that are already in place. It will also be the occasion to share the state of the projects that the participants are involved in.
The workshop will take place on the 7th of October. If there is enough interest, parallel discussions can be organized at the last part of the workhsop on selected topics. This will be based on the input given during the Indico registration.
We are at the moment preparing the agenda. There will be mainly two sessions: a first one with an introductory tutorial and a second one where participants will have the chance to present in an informal setup their work. This can include completed or ongoing projects, problems that need a solution, questions on a topic, etc
For the abstract submission you will need to login to the Indico page with either your CERN credentials, your organization credential if it is part of EduGAIN, or with your public service account (e.g. Facebook, Google, etc.). If you experience any issue with the submission, you can send the abstract via email to:
firstname.lastname@example.org and email@example.com
Links to previous workshops:
ICALEPCS 2021: 2nd Data Science and Machine Learning Workshop: https://indico.cern.ch/event/1075165/
ICALEPCS 2019: 1st Data Science and Machine Learning Workshop: https://indico.cern.ch/event/828418/
Alfredo Canziani YouTube channel: https://www.youtube.com/c/AlfredoCanziani/videos