Course outline

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Получаемые навыки

Human-level Performance (HLP), Concept Drift, Model baseline, Project Scoping and Design, ML Deployment Challenges

Рецензии

4.8 (оценок: 2,037)

  • 5 stars
    84,97 %
  • 4 stars
    12,56 %
  • 3 stars
    1,71 %
  • 2 stars
    0,54 %
  • 1 star
    0,19 %

IU

5 дек. 2021 г.

I have been involved with deep learning for more than 5 years (in academia), nevertheless learned a lot already. I am very curious about the next courses. Thanks for putting together this course!

EE

19 мая 2021 г.

Excellent course, as always! Many thanks!

Great combination of theory + notebooks with practical examples.

Everything is perfectly structured. I will recommend this course to everyone!

Из урока

Week 1: Overview of the ML Lifecycle and Deployment

This week covers a quick introduction to machine learning production systems focusing on their requirements and challenges. Next, the week focuses on deploying production systems and what is needed to do so robustly while facing constantly changing data.

Преподаватели

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    Andrew Ng

    Instructor

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    Cristian Bartolomé Arámburu

    Curriculum Developer

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