Random (stochastic) environment (Optional)

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Получаемые навыки

Collaborative Filtering, Unsupervised Learning, Recommender Systems, Reinforcement Learning, Anomaly Detection


4.9 (оценок: 791)

  • 5 stars
    92,03 %
  • 4 stars
    7,20 %
  • 3 stars
    0,50 %
  • 1 star
    0,25 %


17 авг. 2022 г.

This course is an excellent course for introductory machine learning. All of the topics are covered in great detail and It is an honor to be taught by Andrew N.G, the Great teacher.


9 сент. 2022 г.

It simply exceeded my expectations. I recommend it to whoever who is trying to learn the concepts and need tips related to industry practices, and overall wants an applied approach.

Из урока

Reinforcement learning

This week, you will learn about reinforcement learning, and build a deep Q-learning neural network in order to land a virtual lunar lander on Mars!


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    Andrew Ng


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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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