Fairness, bias, and ethics

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Destrezas que aprenderás

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

Reseñas

4.9 (1,256 calificaciones)

  • 5 stars
    92,67 %
  • 4 stars
    6,60 %
  • 3 stars
    0,31 %
  • 2 stars
    0,23 %
  • 1 star
    0,15 %

SD

8 de jul. de 2022

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

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.

De la lección

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.

Impartido 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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