Graphical Models Certification Training

Graphical Models Course is designed to teach Graphical Models, fundamentals of Graphical Models, Probabilistic Theories, Types of Graphical Models – Bayesian (Directed) and Markov’s (Undirected) Networks, Representation of Bayesian and Markov’s Networks, Concepts related to Bayesian and Markov’s Networks, Decision Making – theories and assumption, Inference and Learning in Graphical Models.
2k+ satisfied learners Read Reviews
60 days of Cloud Lab access

Why should you take Graphical Models?

It is predicted that about $47 billion will be budgeted towards machine learning in 2020 – Analyticsinsight.net

The average salary for a Machine Learning Engineer is $1,18,452 – Glassdoor.com

Machine Learning Engineers rank among the top emerging jobs on LinkedIn.com

Instructor-led Graphical Models live online classes

May 24 th 
Fri & Sat (3 Weeks) Weekend Batch Sold Out Timings - 09:30 PM to 12:30 AM (EDT)
Jun 29 th 
Sat & Sun (3 Weeks) Weekend Batch Timings - 11:00 AM to 02:00 PM (EDT)
Jul 26 th 
Fri & Sat (3 Weeks) Weekend Batch Timings - 09:30 PM to 12:30 AM (EDT)

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Curriculum

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Course Description

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Certification

Edureka’s Graphical Models Professional Certificate Holders work at 1000s of companies like

Reviews

5000 Total number of reviews
4.57 Aggregate review score
80% Course completion rate
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Thanks a lot for your Android course. Right from the point of the start of the demo class, until the end of the complete course, the ride has been truly joyous and full of learning . I had no insight into Android development but with the help of your excellent instructor, I now stand a chance to explore wider into this. The webinars were truly awesome. Live Online sessions were highly interactive. The edureka! methodology for Online classes has changed the way I look at webinars now. Plus point is the knowledgeable course material. I am falling short of words describing the great experience of my Android training at edureka!. Thanks Team edureka!

Clean, simple and a fantastic learning resource. The courses are a great resource for personal development and continual learning. They are well structured and provided both ease of access and depth while allowing you to go at your own pace.Support team people is also really very cooperative and helps out at there best.

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I have done Spring Framework and Hadoop framework training from Edureka. I am very happy with the training and help they are providing.The sessions were very informative. The instructors are highly knowledgeable.They provide a set of videos from a previous session, so you can watch the course before you participate. This way you can get the most out of the course.Excellent Customer Service starting with signing up of the course. I really appreciate Edureka Support team. They are really doing a fantastic job. All my queries were answered properly and promptly.You get recording of the classes, presentations and labs in LMS. And good feature is you have lifetime access to LMS of course you have taken, so you can refer, revise any topic when you want.I can safely say Edureka is one of the best training company.

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I have been an Edureka!'s happy customer since 2013. I am a customer of Edureka enrolled for Big data developer, Hadoop Administration, AWS Architect Certification Training and PMP Exam Preparation course. I have received Outstanding support" from Edureka 24/7 team along with Sales/support team for all course. The trainers are excellent. Edureka LMS is very well organized and well structured. In LMS you will find each bit of information starting from installation, very good training materials, recording, interview blogs,assignments, quiz and much more supporting materials. It is wonderful online learning platform i have ever seen. Thanks to edureka and team to for such a quick and informative approach for queries which i had put to clear my doubts.Overall a 5 star i give for overwhelming satisfaction from course. Thanks for the wonderful learning experience!"

Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the instructors are industry trained and extremely hard working. The support is always willing to help you out in various ways as promptly as possible. Edureka redefines the way online training is conducted by making it as futuristic as possible, with utmost care and minute detailing, packaged into the a unique virtual classrooms. Thank you Edureka!

I had attended a couple of demo session with other training institutes before joining Edureka. I can safely say Edureka is one of the best training company. They have good trainers with excellent communication skills. Edureka has a very good support team which is always ready to help you out (haven't seen this with other). The classes happen over the weekend. The marketing team is extremely flexible and understanding. Happy learning :)

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Projects

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Training Features

Instructor-led Sessions

15 Hours of Online Live Instructor-Led Classes. Weekend Class : 5 sessions of 3 hours each.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various Graphical Models concepts.

Assignments

Each class will be followed by practical assignment.

Lifetime Access

You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.

Certification

Towards the end of the course, Edureka certifies you as a "Graphical Models Professional" based on the project you submit.

Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.

FAQ's

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Checkout our Machine Learning Engineer Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

Explore Machine Learning Engineer Masters Program
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