Course conclusion

video-placeholder
Loading...
Просмотреть программу курса

Получаемые навыки

Gibbs Sampling, Bayesian Statistics, Bayesian Inference, R Programming

Рецензии

4.8 (оценок: 443)

  • 5 stars
    83,29 %
  • 4 stars
    12,64 %
  • 3 stars
    2,25 %
  • 2 stars
    0,90 %
  • 1 star
    0,90 %

TO

23 нояб. 2020 г.

I learned a lot about MCMC. This course is taught using R, but I personally was also working on it in python at the same time. I would love to try a higher class. Thank you!

KD

8 янв. 2020 г.

Excellent teacher and very well taught. Right amount of theory and programming combination. Made the subject easy to learn. Enjoyed it very much. Thank you very much.

Из урока

Capstone project

Peer-reviewed data analysis project

Преподаватели

  • Placeholder

    Matthew Heiner

    Doctoral Student

Ознакомьтесь с нашим каталогом

Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.