Data Analysis Block Course
21 Jul 2025, 09:00
→
1 Aug 2025, 12:00
Europe/Zurich
Monday 21 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
1
Distributions and sampling, Markov Chain Monte Carlo
2
Exercises
Tuesday 22 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
3
Least Squares and Maximum Likelihood Fitting
4
Exercises
Wednesday 23 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
5
Error Propagation, COWs and sWeights
6
Exercises
Thursday 24 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
7
Parametrization and unfolding
8
Exercises
Monday 28 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
9
Machine Learning (loss, ROC). Automatic differentiation
10
Exercises
Tuesday 29 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
11
Decision trees, AdaBoost, Gradient Boosting
12
Exercises
Wednesday 30 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
13
Neural Network
14
Exercises
Thursday 31 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
15
Normalizing flows | Transformets
16
Exercises