Key challenges

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강의 계획표 보기

배우게 될 기술

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

검토

4.8개(2,164개 평가)

  • 5 stars
    84.51%
  • 4 stars
    12.89%
  • 3 stars
    1.89%
  • 2 stars
    0.46%
  • 1 star
    0.23%

IU

2021년 12월 5일

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

2021년 5월 19일

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!

수업에서

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.

강사:

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    Andrew Ng

    Instructor

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    Cristian Bartolomé Arámburu

    Curriculum Developer

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