Hyperparameter tuning II

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강의 계획서 보기

배우게 될 기술

Data Analysis, Feature Extraction, Feature Engineering, Xgboost

검토

4.7(691개의 평가)
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    586 ratings
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GW

Feb 19, 2019

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.

SA

Feb 25, 2019

I really enjoyed this course but it was probably 2-3 times more work than I anticipated. Most of that extra time comes from working on the final project, testing things out, etc.

수업에서
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.

강사:

  • Dmitry Ulyanov

    Dmitry Ulyanov

    Visiting lecturer
  • Alexander Guschin

    Alexander Guschin

    Visiting lecturer at HSE, Lecturer at MIPT
  • Mikhail Trofimov

    Mikhail Trofimov

    Visiting lecturer
  • Dmitry Altukhov

    Dmitry Altukhov

    Visiting lecturer
  • Marios Michailidis

    Marios Michailidis

    Research Data Scientist

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