XGBoost

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강의 계획표 보기

배우게 될 기술

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

검토

4.9개(1,250개 평가)

  • 5 stars
    92.64%
  • 4 stars
    6.64%
  • 3 stars
    0.32%
  • 2 stars
    0.24%
  • 1 star
    0.16%

SD

2022년 7월 8일

Great course! and according to me, the ML roadmap that best matches the one I thought to approach the ML topic based on all my experiences. So I recommend this course of Andrew to everyone.

SM

2022년 8월 5일

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.

수업에서

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).

강사:

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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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