Second Machine Learning in High Energy Physics Summer School 2016

Session

Seminars

Jun 20, 2016, 2:35 PM

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

6/20/16, 2:35 PM

9. Python for data analysis; Probability density estimation

6/20/16, 4:15 PM

numpy, root_numpy, pandas, matplotlib

12. Model evaluation

6/21/16, 1:30 PM

Overfitting, Cross-validation

13. sklearn, simple algorithms

6/21/16, 3:10 PM

16. Ensemble algorithms, dimensionality reduction

6/22/16, 1:30 PM

Random forest, gradient boosting, PCA

21. Feature engineering and selection

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

6/23/16, 2:00 PM

Flatness boosting and reweighting

20. Shallow neural networks

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

6/23/16, 3:40 PM

27. Deep neural networks

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

6/23/16, 5:20 PM

24. Deep learning III

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

6/25/16, 1:30 PM

25. Deep learning IV

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

6/25/16, 3:10 PM

17. Hyperparameters search