Second Machine Learning in High Energy Physics Summer School 2016

Session

Lectures

20 Jun 2016, 10:20

Lundmarkssalen (Lund University)

Conveners

Lectures: Day 1 lectures

• Aleksei Rogozhnikov (Yandex School of Data Analysis (RU))

Lectures: Day 2 lectures

• Aleksei Rogozhnikov (Yandex School of Data Analysis (RU))

Lectures: Day 3 lectures

• Aleksei Rogozhnikov (Yandex School of Data Analysis (RU))

Lectures: Day 4 lectures

• Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))

Lectures: Deep learning

• Alexander Panin (Yandex School of Data Analysis (RU))

6. Intro: General pipeline, ML at a glance, model evaluation

20/06/2016, 10:20

Featuring cross-validation and ROC AUC

7. Metric ML algorithms

20/06/2016, 12:00

SVM, KNN, Linear regression

10. Decision trees

21/06/2016, 09:30

11. Ensembles

21/06/2016, 11:10

bagging & boosting

14. Feature engineering, Dimensionality reduction

22/06/2016, 09:30

15. Hyperparameters search

22/06/2016, 11:10

Featuring Gaussian processes

18. Boosting reweighting and flatness

23/06/2016, 09:30

22. Deep learning I

Mr Alexander Panin (Yandex School of Data Analysis (RU))

25/06/2016, 09:30

23. Deep learning II

Mr Alexander Panin (Yandex School of Data Analysis (RU))

25/06/2016, 11:10

19. Boosting reweighting and flatness - seminar