Putting it together

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

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4.9(798 個評分)

  • 5 stars
    92.60%
  • 4 stars
    6.51%
  • 3 stars
    0.37%
  • 2 stars
    0.25%
  • 1 star
    0.25%

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.

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.

從本節課中

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).

教學方

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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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