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Получаемые навыки

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

Рецензии

4.9 (оценок: 320)

  • 5 stars
    91,25 %
  • 4 stars
    8,12 %
  • 2 stars
    0,31 %
  • 1 star
    0,31 %

MM

22 июня 2022 г.

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.

WH

18 июня 2022 г.

An excellent update to the previous Machine Learning course. Goes into excellent detail about each algorithm and the practical notebooks are useful and easy to follow.

Из урока

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.

Преподаватели

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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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