Name: Machine Learning applied to Nuclear Physics, Experiment and Theory
Start: 2021-07-19T08:00:00+02:00
End: 2021-07-30T18:00:00+02:00
Location: VIRTUAL

Machine Learning applied to Nuclear Physics, Experiment and Theory

from Monday, 19 July 2021 (08:00) to Friday, 30 July 2021 (18:00)

Monday, 19 July 2021
14:00 Linear Regression and intro to statistical data analysis - Morten Hjorth-Jensen (Michigan State University (USA))
Linear Regression and intro to statistical data analysis
- Morten Hjorth-Jensen (Michigan State University (USA))
14:00 - 16:00
16:00 Greetings from ECT* Director
Greetings from ECT* Director
16:00 - 16:10

16:10

16:10 - 17:10
Tuesday, 20 July 2021
14:00 Logistic Regression and classification problems, intro to gradient methods - Morten Hjorth-Jensen (Michigan State University (USA))
Logistic Regression and classification problems, intro to gradient methods
- Morten Hjorth-Jensen (Michigan State University (USA))
14:00 - 16:00
16:00

16:00 - 17:00
Wednesday, 21 July 2021
14:00 Decision Trees, Random Forests and Boosting methods - Morten Hjorth-Jensen (Michigan State University (USA))
Decision Trees, Random Forests and Boosting methods
- Morten Hjorth-Jensen (Michigan State University (USA))
14:00 - 16:00
16:00

16:00 - 17:00
Thursday, 22 July 2021
14:00 Basics of Neural Networks and writing your own Neural Network code - Morten Hjorth-Jensen (Michigan State University (USA))
Basics of Neural Networks and writing your own Neural Network code
- Morten Hjorth-Jensen (Michigan State University (USA))
14:00 - 16:00
16:00

16:00 - 17:00
Friday, 23 July 2021
14:00 Beta-decay experiments, how to analyze various events, with hands-on examples - Sean Liddick (Michigan State University)
Beta-decay experiments, how to analyze various events, with hands-on examples
- Sean Liddick (Michigan State University)
14:00 - 16:00
16:00

16:00 - 17:00
Saturday, 24 July 2021
Sunday, 25 July 2021