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Fourth Machine Learning in High Energy Physics Summer School 2018

6–12 Aug 2018
University of Oxford
Europe/London timezone

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Session

Seminars

6 Aug 2018, 11:00
St Anne's College, Mary Ogilvie LT (University of Oxford)

St Anne's College, Mary Ogilvie LT

University of Oxford

56 Woodstock Rd, Oxford OX2 6HS, United Kingdom.

Conveners

Seminars: Day 1 Seminars (Track 1)

  • Maxim Borisyak (Yandex School of Data Analysis (RU))

Seminars: Day 1 Seminars (Track 1)

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

Seminars: Day 2 Seminars

  • Alexey Artemov (Yandex)

Seminars: Day 2 seminrs

  • Alexey Artemov (Yandex)

Seminars: Day 4 Seminars

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

Seminars: Day 4 Seminars

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

Seminars: Day 5 Seminars

  • Maxim Borisyak (Yandex School of Data Analysis (RU))

Seminars: Day 5 Seminars

  • Maxim Borisyak (Yandex School of Data Analysis (RU))

Seminars: Day 6 Seminars

  • Alexey Artemov (Skoltech, HSE)

Presentation materials

There are no materials yet.

  1. 29. Track 1 Seminar. Introduction into Decision Trees. Python ML stack recap (numpy, scikit-learn, pandas).
    Maxim Borisyak (Yandex School of Data Analysis (RU))
    06/08/2018, 11:00
  2. 31. Track 1 Seminar. Tree Ensembles in practice
    Nikita Kazeev (Yandex School of Data Analysis (RU))
    06/08/2018, 15:30
  3. 32. Seminar. Computing gradient by hand. Keras.
    Alexey Artemov (Yandex)
    07/08/2018, 11:00
  4. 13. Seminar. Image recognition using convolutional neural networks.
    Alexey Artemov (Yandex)
    07/08/2018, 15:30
  5. 37. Seminar. Tensorflow, Variational Autoencoder.
    Nikita Kazeev (Yandex School of Data Analysis (RU))
    09/08/2018, 11:00
  6. 46. Seminar. Generative Adversarial Networks.
    Nikita Kazeev (Yandex School of Data Analysis (RU))
    09/08/2018, 15:30
  7. 55. Seminar. Hyper-parameter optimization.
    Maxim Borisyak (Yandex School of Data Analysis (RU))
    10/08/2018, 11:00
  8. 39. Seminar. Tuning PYTHIA.
    Maxim Borisyak (Yandex School of Data Analysis (RU))
    10/08/2018, 15:30
  9. 41. Seminar. NN interpretation. Tips & tweaks.
    Dr Alexey Artemov (Skoltech, HSE)
    11/08/2018, 11:00
  10. 8. Course technicalities, working environment
  11. 24. Deep learning III
    Mr Alexander Panin (Yandex School of Data Analysis (RU))
  12. 25. Deep learning IV
    Mr Alexander Panin (Yandex School of Data Analysis (RU))
  13. 27. Deep neural networks
    Alexander Panin (Yandex School of Data Analysis (RU))
  14. 16. Ensemble algorithms, dimensionality reduction

    Random forest, gradient boosting, PCA

    Go to contribution page
  15. 21. Feature engineering and selection
    Nikita Kazeev (Yandex School of Data Analysis (RU))

    Flatness boosting and reweighting

    Go to contribution page
  16. 17. Hyperparameters search
  17. 12. Model evaluation

    Overfitting, Cross-validation

    Go to contribution page
  18. 9. Python for data analysis; Probability density estimation

    numpy, root_numpy, pandas, matplotlib

    Go to contribution page
  19. 35. Seminar 6. Image recognition using convolutional neural networks.
  20. 53. Seminar. Graph Models (MPNN).
    Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
  21. 20. Shallow neural networks
    Alexander Panin (Yandex School of Data Analysis (RU))
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