Second Machine Learning in High Energy Physics Summer School 2016

Session

Seminars

20 Jun 2016, 14:35

Lundmarkssalen (Lund University)

Conveners

Seminars: Day 1 seminars

• Nikita Kazeev (Yandex School of Data Analysis (RU))

Seminars: Day 2 seminrs

• Nikita Kazeev (Yandex School of Data Analysis (RU))

Seminars: Day 3 seminars

• Nikita Kazeev (Yandex School of Data Analysis (RU))

Seminars: Day 4 seminars

• There are no conveners in this block

Seminars: Deep learning

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

Seminars: Boosting reweighting and flatness - seminar

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

8. Course technicalities, working environment

20/06/2016, 14:35

9. Python for data analysis; Probability density estimation

20/06/2016, 16:15

numpy, root_numpy, pandas, matplotlib

12. Model evaluation

21/06/2016, 13:30

Overfitting, Cross-validation

13. sklearn, simple algorithms

21/06/2016, 15:10

16. Ensemble algorithms, dimensionality reduction

22/06/2016, 13:30

Random forest, gradient boosting, PCA

21. Feature engineering and selection

Nikita Kazeev (Yandex School of Data Analysis (RU))

23/06/2016, 14:00

Flatness boosting and reweighting

20. Shallow neural networks

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

23/06/2016, 15:40

27. Deep neural networks

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

23/06/2016, 17:20

24. Deep learning III

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

25/06/2016, 13:30

25. Deep learning IV

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

25/06/2016, 15:10

17. Hyperparameters search