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Seventh Machine Learning in High Energy Physics Summer School 2021

15–30 Jul 2021
Zoom
Europe/Berlin timezone

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Session

Seminar

Not scheduled
Zoom

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Presentation materials

learning-to-pivot.pdf
  1. 8. Course technicalities, working environment
  2. 24. Deep learning III
    Mr Alexander Panin (Yandex School of Data Analysis (RU))
  3. 25. Deep learning IV
    Mr Alexander Panin (Yandex School of Data Analysis (RU))
  4. 27. Deep neural networks
    Alexander Panin (Yandex School of Data Analysis (RU))
  5. 16. Ensemble algorithms, dimensionality reduction

    Random forest, gradient boosting, PCA

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  6. 21. Feature engineering and selection
    Nikita Kazeev (Yandex School of Data Analysis (RU))

    Flatness boosting and reweighting

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  7. 17. Hyperparameters search
  8. 12. Model evaluation

    Overfitting, Cross-validation

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  9. 9. Python for data analysis; Probability density estimation

    numpy, root_numpy, pandas, matplotlib

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  10. 35. Seminar 6. Image recognition using convolutional neural networks.
  11. 32. Seminar. Computing gradient by hand. Keras.
    Alexey Artemov (Yandex)
  12. 46. Seminar. Generative Adversarial Networks.
    Nikita Kazeev (Yandex School of Data Analysis (RU))
  13. 53. Seminar. Graph Models (MPNN).
    Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
  14. 13. Seminar. Image recognition using convolutional neural networks.
    Alexey Artemov (Yandex)
  15. 41. Seminar. NN interpretation. Tips & tweaks.
    Dr Alexey Artemov (Skoltech, HSE)
  16. 37. Seminar. Tensorflow, Variational Autoencoder.
    Nikita Kazeev (Yandex School of Data Analysis (RU))
  17. 20. Shallow neural networks
    Alexander Panin (Yandex School of Data Analysis (RU))
  18. 29. Track 1 Seminar. Introduction into Decision Trees. Python ML stack recap (numpy, scikit-learn, pandas).
    Maxim Borisyak (Yandex School of Data Analysis (RU))
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