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Overview
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.
Key facts
- 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.
Applied Learning Project
Through various lectures, quizzes, programming assignments and exams, learners in this specialization will practice and master the fundamentals of probabilistic graphical models. This Probabilistic Graphical Models Specialization offered by Coursera in partnership with Stanford has three five-week courses for a total of fifteen weeks.
Skills you'll gain
- Probability & Statistics
- General Statistics
- Graph Theory
- Probability Distribution
- Bayesian Statistics
- Machine Learning
- Network Model
- Mathematics
- Human Learning
Programme Structure
Courses included:
- Probabilistic Graphical Models: Representation
- Probabilistic Graphical Models: Inference
- Probabilistic Graphical Models: Learning
Key information
Duration
- Part-time
- 4 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Mathematics Financial Mathematics Machine Learning View 40 other Short Courses in Mathematics in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Advanced Level
- Designed for those already in the industry.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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