Difference between revisions of "AI tutorials"
From GlueXWiki
(→Recording) |
(→Registration) |
||
| Line 64: | Line 64: | ||
|- | |- | ||
| Daniel || JLab || Staff || Yes | | Daniel || JLab || Staff || Yes | ||
| + | |- | ||
| + | | Gyang || Virginia Tech || Student || Yes | ||
|} | |} | ||
| | ||
= Recording = | = Recording = | ||
Revision as of 12:11, 23 January 2025
Contents
Purpose
The overall topic is: „Best practice for AI in nuclear physics applications“. We wish to cover the following items via plenary talks and/or interactive tutorials:
- Feature engineering --> Feature normalization, correlation coefficients, feature selection, etc.
- Overfitting --> Dropout layers, weight regularization, etc.
- Performance evaluation --> ROC-Curve, confusion matrix, accuracy, loss curves,...
- Visualization --> How to properly present the performance of a model ? What are "good" diagnostic plots ?
- Model deployment --> How to use a model within the GlueX analysis software
- Data fed into models --> What data sets are used ? Numerical, vs. Images, raw data vs. clean data,...
- Tools made available by the data science department
- Optional, depending on time: HPO --> Tune the parameters of your model
- Optional, depending on time: Bookkeeping of models via MLFlow
Location and Time
The workshop will take place at:
DATES: February 18 (all day) - 19 (morning only), 2025
LOCATION: CEBAF Center F113
Remote Participation
</div>
References
Workshop Software
Agenda
Feb 18
Feb 19
Registration
Please add your name to the list of attendees below. No formal registration or registration fee is required.
| Name | Home Institution | Level | Participate at JLab |
|---|---|---|---|
| ig | JLab | Staff | Yes |
| Daniel | JLab | Staff | Yes |
| Gyang | Virginia Tech | Student | Yes |
