Modeling overview

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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: 923)

  • 5 stars
    83,20 %
  • 4 stars
    13,86 %
  • 3 stars
    1,84 %
  • 2 stars
    0,86 %
  • 1 star
    0,21 %

AC

8 июня 2021 г.

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I have been working in a large payments technology company for last one year and I can vouch for all the processes Andrew beautifully summarised. It does help a lot working in the industry.

NB

11 июля 2021 г.

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Introduces you to the basics of MLOps in a well paced mannar. Would request to add more examples of structured data sets, as many companies usually are dealing with the related problems.

Из урока

Week 2: Select and Train a Model

This week is about model strategies and key challenges in model development. It covers error analysis and strategies to work with different data types. It also addresses how to cope with class imbalance and highly skewed data sets.

Преподаватели

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    Andrew Ng

    Instructor

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    Cristian Bartolomé Arámburu

    Curriculum Developer

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