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Prerequirement probability graphical model standford

  • 9 September 2019
  • 1 reply
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I want pick this course https://www.coursera.org/specializations/probabilistic-graphical-models
I dont know prerequirement knowledge for its. Who can given for me?
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Best answer by KenC 9 September 2019, 09:04

Hello,

Below please see the information that is contained in the FAQ section of that specialization regarding useful prior knowledge.

"What background knowledge is necessary?
This class does require some abstract thinking and mathematical skills. However, it is designed to require fairly little background, and a motivated student can pick up the background material as the concepts are introduced. We hope that, using our new learning platform, it should be possible for everyone to understand all of the core material.
Though, you should be able to program in at least one programming language and have a computer (Windows, Mac or Linux) with internet access (programming assignments will be conducted in Matlab or Octave). It also helps to have some previous exposure to basic concepts in discrete probability theory (independence, conditional independence, and Bayes' rule)."

I hope that this is helpful to you.

Ken
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Badge +1
Hello,

Below please see the information that is contained in the FAQ section of that specialization regarding useful prior knowledge.

"What background knowledge is necessary?
This class does require some abstract thinking and mathematical skills. However, it is designed to require fairly little background, and a motivated student can pick up the background material as the concepts are introduced. We hope that, using our new learning platform, it should be possible for everyone to understand all of the core material.
Though, you should be able to program in at least one programming language and have a computer (Windows, Mac or Linux) with internet access (programming assignments will be conducted in Matlab or Octave). It also helps to have some previous exposure to basic concepts in discrete probability theory (independence, conditional independence, and Bayes' rule)."

I hope that this is helpful to you.

Ken

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