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您将学习的技能

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

审阅

4.8(2,160 个评分)

  • 5 stars
    84.62%
  • 4 stars
    12.77%
  • 3 stars
    1.89%
  • 2 stars
    0.46%
  • 1 star
    0.23%

IU

Dec 5, 2021

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

May 19, 2021

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!

从本节课中

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.

教学方

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    Andrew Ng

    Instructor

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    Cristian Bartolomé Arámburu

    Curriculum Developer

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