Modeling overview

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学習するスキル

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

レビュー

4.8 (1,823 件の評価)

  • 5 stars
    84.91%
  • 4 stars
    12.56%
  • 3 stars
    1.81%
  • 2 stars
    0.49%
  • 1 star
    0.21%

EE

2021年5月19日

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

2021年6月8日

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.

レッスンから

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.

講師

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    Andrew Ng

    Instructor

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    Cristian Bartolomé Arámburu

    Curriculum Developer

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