Key challenges

video-placeholder
Loading...
Visualiser le programme de cours

Compétences que vous apprendrez

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

Avis

4.8 (2,045 évaluations)

  • 5 stars
    84,93 %
  • 4 stars
    12,61 %
  • 3 stars
    1,71 %
  • 2 stars
    0,53 %
  • 1 star
    0,19 %

IU

5 déc. 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

19 mai 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!

À partir de la leçon

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.

Enseigné par

  • Placeholder

    Andrew Ng

    Instructor

  • Placeholder

    Cristian Bartolomé Arámburu

    Curriculum Developer

Explorer notre catalogue

Rejoignez-nous gratuitement et obtenez des recommendations, des mises à jour et des offres personnalisées.