Chevron Left
Zurück zu Probabilistic Graphical Models 1: Representation

Bewertung und Feedback des Lernenden für Probabilistic Graphical Models 1: Representation von Stanford University

1,401 Bewertungen

Über den Kurs

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems. This course is the first in a sequence of three. It describes the two basic PGM representations: Bayesian Networks, which rely on a directed graph; and Markov networks, which use an undirected graph. The course discusses both the theoretical properties of these representations as well as their use in practice. The (highly recommended) honors track contains several hands-on assignments on how to represent some real-world problems. The course also presents some important extensions beyond the basic PGM representation, which allow more complex models to be encoded compactly....



12. Juli 2017

Prof. Koller did a great job communicating difficult material in an accessible manner. Thanks to her for starting Coursera and offering this advanced course so that we can all learn...Kudos!!


22. Okt. 2017

The course was deep, and well-taught. This is not a spoon-feeding course like some others. The only downside were some "mechanical" problems (e.g. code submission didn't work for me).

Filtern nach:

1 - 25 von 304 Bewertungen für Probabilistic Graphical Models 1: Representation

von Sandeep M

23. Sep. 2018

von Ben L

12. Jan. 2019

von Amine M

30. Apr. 2019

von Max B

19. Dez. 2020

von M

6. Jan. 2018

von Deleted A

18. Nov. 2018

von Alex L

9. Apr. 2018

von Michael S E

14. Feb. 2017

von Chuck M

22. Okt. 2017

von Alexander P

1. Apr. 2019

von Alexey G

6. Nov. 2016

von Casey C

31. Okt. 2016

von M A B

31. Aug. 2018

von Ashok S

30. März 2018

von Sergey S

24. Sep. 2020

von Dhruv P

18. Juni 2017

von Shi Y

12. Nov. 2018

von Phillip W

8. Apr. 2019

von Sergey V

28. Okt. 2016

von Yuxun L

7. Dez. 2016

von StudyExchange

12. März 2018

von Santosh K S

28. Juli 2018

von Ram G

13. Juli 2017

von Abhishek K

13. Nov. 2016

von Tomasz L

12. Mai 2019