Chevron Left
返回到 Probabilistic Graphical Models 1: Representation

学生对 斯坦福大学 提供的 Probabilistic Graphical Models 1: Representation 的评价和反馈

1,380 个评分


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....



Jul 12, 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!!


Oct 22, 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).


151 - Probabilistic Graphical Models 1: Representation 的 175 个评论(共 300 个)

创建者 Chahat C

May 4, 2019

lectures not good(i mean not detailed)

创建者 Harshdeep S

Jul 19, 2019

Excellent blend of maths & intuition.


Mar 7, 2020

Very good explanation on the subject

创建者 Jui-wen L

Jun 20, 2019

Easy to follow and very informative.

创建者 Miriam F

Aug 27, 2017

Very nice and well prepared course!

创建者 Gary H

Mar 27, 2018

Great instructor and information.

创建者 Subham S

Apr 28, 2020

I enjoyed the course very much!

创建者 George S

Jun 18, 2017

Excellent material presentation

创建者 郭玮

Apr 25, 2019

Really nice course, thank you!

创建者 지혜성

Oct 10, 2019

So difficult. But interesting

创建者 Jinsun P

Jan 16, 2017

Really Helpful for Studying!

创建者 Shengding H

Mar 10, 2019

A very nice-designed course

创建者 Marno B

Feb 3, 2019

Absolutely love it!!!!


创建者 An N

Feb 5, 2018

Thank you, the professor.

创建者 hy395

Sep 13, 2017

Very clear and intuitive.

创建者 艾萨克

Nov 6, 2016

useful! A little diffcult

创建者 Souvik C

Oct 26, 2016

Extremely helpful course

创建者 Joris S

Feb 16, 2020

Well presented course!

创建者 Jiew W

Apr 17, 2018

very good, practical.

创建者 Wei C

Mar 6, 2018

good online coursera

创建者 Nijesh U

Jul 18, 2019

Thanks for offering

创建者 Hang D

Oct 9, 2016

really well taught

创建者 Anil K

Oct 30, 2017

Very intuitive...

创建者 Kar T Q

Mar 2, 2017

Excellent course.

创建者 Labmem

Oct 3, 2016

Great Course!!!!!