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Probabilistic Graphical Models 1: Representation(으)로 돌아가기

스탠퍼드 대학교의 Probabilistic Graphical Models 1: Representation 학습자 리뷰 및 피드백

4.7
별점
1,253개의 평가
275개의 리뷰

강좌 소개

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....

최상위 리뷰

ST

Jul 13, 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!!

CM

Oct 23, 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).

필터링 기준:

Probabilistic Graphical Models 1: Representation의 268개 리뷰 중 151~175

교육 기관: Joris S

Feb 16, 2020

Well presented course!

교육 기관: Jiew W

Apr 17, 2018

very good, practical.

교육 기관: Wei C

Mar 06, 2018

good online coursera

교육 기관: Nijesh U

Jul 18, 2019

Thanks for offering

교육 기관: Hang D

Oct 09, 2016

really well taught

교육 기관: Anil K

Oct 30, 2017

Very intuitive...

교육 기관: Kar T Q

Mar 02, 2017

Excellent course.

교육 기관: Labmem

Oct 03, 2016

Great Course!!!!!

교육 기관: Phung H X

Oct 30, 2016

very good course

교육 기관: Logé F

Nov 19, 2017

Great course !

교육 기관: Diego T

Jun 09, 2017

Great content!

교육 기관: Yue S

May 09, 2019

Great course!

교육 기관: David D

May 30, 2017

Mind blowing!

교육 기관: Yang P

Apr 26, 2017

Great course.

교육 기관: Nairouz M

Feb 14, 2017

Very helpful.

교육 기관: brotherzhao

Feb 15, 2020

nice course!

교육 기관: Utkarsh A

Dec 30, 2018

maza aa gaya

교육 기관: Musalula S

Aug 02, 2018

Great course

교육 기관: yuri f

May 15, 2017

great course

교육 기관: clyce

Nov 27, 2016

Nice course.

교육 기관: Pedro R

Nov 09, 2016

great course

교육 기관: Frank

Dec 15, 2017

老师太天马行空了。。。

교육 기관: HOLLY W

May 25, 2019

课程特别好,资料丰富

교육 기관: Siyeong L

Jan 22, 2017

Awesome!!!

교육 기관: Alireza N

Jan 12, 2017

Excellent!