Model selection and training/cross validation/test sets

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Habilidades que você aprenderá

Artificial Neural Network, Xgboost, Tensorflow, Tree Ensembles, Advice for Model Development

Avaliações

4.9 (792 classificações)

  • 5 stars
    92,55%
  • 4 stars
    6,56%
  • 3 stars
    0,37%
  • 2 stars
    0,25%
  • 1 star
    0,25%

SM

5 de ago de 2022

The course was fantastic! I really enjoyed every part, every video, every quiz, every optional lab, every assignment of the course. It was a pretty memorable ride to have come this far.

BS

29 de jul de 2022

This course is even better and more accessible in this new format. This instance is quite complicated, requires some good python/numpy knowledge but the math is not so overwhelming.

Na lição

Advice for applying machine learning

This week you'll learn best practices for training and evaluating your learning algorithms to improve performance. This will cover a wide range of useful advice about the machine learning lifecycle, tuning your model, and also improving your training data.

Ministrado por

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    Andrew Ng

    Instructor

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    Eddy Shyu

    Curriculum Architect

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    Aarti Bagul

    Curriculum Engineer

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    Geoff Ladwig

    Curriculum Engineer

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