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学習するスキル

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

レビュー

4.9 (330 件の評価)

  • 5 stars
    91.51%
  • 4 stars
    7.87%
  • 2 stars
    0.30%
  • 1 star
    0.30%

BS

2022年7月29日

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.

MM

2022年6月22日

Excellent course, although it would have been good to talk more about backward propagation, after finishing this course this is the only point that is left unclear in my mind.

レッスンから

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.

講師

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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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