Fairness, bias, and ethics

video-placeholder
Loading...
Просмотреть программу курса

Получаемые навыки

Artificial Neural Network, Xgboost, Tensorflow, Tree Ensembles, Advice for Model Development

Рецензии

4.9 (оценок: 1,276)

  • 5 stars
    92,71 %
  • 4 stars
    6,58 %
  • 3 stars
    0,31 %
  • 2 stars
    0,23 %
  • 1 star
    0,15 %

SD

8 июля 2022 г.

Great course! and according to me, the ML roadmap that best matches the one I thought to approach the ML topic based on all my experiences. So I recommend this course of Andrew to everyone.

SM

5 авг. 2022 г.

The course was fantastic! I really enjoyed every part, every video, every quiz, every optional lab, every assignment of the course. It was a pretty memorable ride to have come this far.

Из урока

Advice for applying machine learning

This week you'll learn best practices for training and evaluating your learning algorithms to improve performance. This will cover a wide range of useful advice about the machine learning lifecycle, tuning your model, and also improving your training data.

Преподаватели

  • Placeholder

    Andrew Ng

    Instructor

  • Placeholder

    Eddy Shyu

    Curriculum Architect

  • Placeholder

    Aarti Bagul

    Curriculum Engineer

  • Placeholder

    Geoff Ladwig

    Curriculum Engineer

Ознакомьтесь с нашим каталогом

Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.