Hyperparameter tuning I

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Compétences que vous apprendrez

Data Analysis, Feature Extraction, Feature Engineering, Xgboost

Avis

4.7 (1,117 évaluations)

  • 5 stars
    80,39 %
  • 4 stars
    12,53 %
  • 3 stars
    2,86 %
  • 2 stars
    1,52 %
  • 1 star
    2,68 %

GW

18 févr. 2019

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Really excellent. Very practical advice from top competitors. This specialization is much more information-dense than most machine learning MOOCs. You really get your money's worth.

MM

9 nov. 2017

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This course is fantastic. It's chock full of practical information that is presented clearly and concisely. I would like to thank the team for sharing their knowledge so generously.

À partir de la leçon

Hyperparameter Optimization

In this module we will talk about hyperparameter optimization process. We will also have a special video with practical tips and tricks, recorded by four instructors.

Enseigné par

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    Dmitry Ulyanov

    Visiting lecturer

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    Alexander Guschin

    Visiting lecturer at HSE, Lecturer at MIPT

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    Mikhail Trofimov

    Visiting lecturer

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    Dmitry Altukhov

    Visiting lecturer

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    Marios Michailidis

    Research Data Scientist

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