Probabilistic Graphical Models 1 Representation | Coursera Online Courses

Probabilistic Graphical Models 1 Representation
Probabilistic Graphical Models 1 Representation

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Probabilistic Graphical Models 1 Representation :

Name Of The CourseProbabilistic Graphical Models 1 Representation
Course ProviderCoursera
CategoryFree/Paid Online Certification
Course Duration30 Hours

Probabilistic Graphical Models 1 Representation - About the Course

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.

Probabilistic Graphical Models 1 Representation - Skills You Will Gain

  • Bayesian Network
  • Graphical Model
  • Markov Random Field

How to Apply For Probabilistic Graphical Models 1 Representation

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Probabilistic Graphical Models 1 Representation – Frequently Asked Questions

How to apply for Probabilistic Graphical Models 1 Representation?

To apply for the Probabilistic Graphical Models 1 Representation, candidates have to visit the official site at Coursera.org. Or else, check Studentscircles.Com to get the direct application link.

What will I be able to do upon completing the professional certificate?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

Does Studentscircles provide Probabilistic Graphical Job Updates?

Yes,StudentsCircles provides Probabilistic Graphical Job Updates.

Does Studentscircles provide Probabilistic Graphical Placement Papers?

Yes, StudentsCircles provides Probabilistic Graphical Placement papers to find it under the placement papers section.