Choosing a split: Information Gain

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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 (818 件の評価)

  • 5 stars
    92.42%
  • 4 stars
    6.60%
  • 3 stars
    0.48%
  • 2 stars
    0.24%
  • 1 star
    0.24%

SM

2022年8月5日

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.

SB

2022年9月28日

Best course for beginners and it helped me immensely to learn new things in Neural Networks, DecisionTree, and What is the problem related to the Model overfitting and underfitting.

レッスンから

Decision trees

This week, you'll learn about a practical and very commonly used learning algorithm the decision tree. You'll also learn about variations of the decision tree, including random forests and boosted trees (XGBoost).

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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