Modeling overview

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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(1,349개 평가)

  • 5 stars
    84.43%
  • 4 stars
    12.75%
  • 3 stars
    1.85%
  • 2 stars
    0.66%
  • 1 star
    0.29%

EE

2021년 5월 19일

Filled StarFilled StarFilled StarFilled StarFilled Star

Excellent course, as always! Many thanks!\n\nGreat combination of theory + notebooks with practical examples.\n\nEverything is perfectly structured. I will recommend this course to everyone!

AC

2021년 6월 8일

Filled StarFilled StarFilled StarFilled StarFilled Star

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.

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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