AI tutorials

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

 

 

 

Workshop Software

PID example Notebook

Agenda

AI Tutorials

Feb 18

• 09:00 Welcome (5min)
• 09:05 Brief introduction to Machine and Deep Learning (1h35)
• 10:40 Break (20 min)
• 11:00 Notebook setup (15min)
• 11:15 Data preparation and feature engineering (1h15)
• 12:30 Lunch (1 h)
• 13:30 Setting up a model and training it (1h15)
• 14:45 Final performance evaluation (1h15)
• 16:00 Break (20min)
• 16:30 HYDRA (45min)

Feb 19

• 09:40 TMVA (30min)
• 10:10 TMVA (30min)
• 10:40 Break (20min)
• 11:00 Graph Neural Network (45min)

 

Registration

Please add your name to the list of attendees below. No formal registration or registration fee is required.

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