Graphical Modelling Course | Learn Graphical Models | Edureka
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Graphical Models

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.
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Why should you take Graphical Models course ?

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

    Goal: To give a brief idea about Graphical models, graph theory, probability theory, components of graphical models, types of graphical models, representation of graphical models, Introduction to inference, learning and decision making in Graphical Models.

Topics:
  • Why do we need Graphical Models?
  • Introduction to Graphical Model
  • How does Graphical Model help you deal with uncertainty and complexity?
  • Types of Graphical Models
  • Graphical Modes
  • Components of Graphical Model
  • Representation of Graphical Models
  • Inference in Graphical Models
  • Learning Graphical Models
  • Decision theory
  • Applications
    Goal: To give a brief idea of Bayesian networks, independencies in Bayesian Networks and building a Bayesian networks.

Topics:
  • What is Bayesian Network?
  • Advantages of Bayesian Network for data analysis
  • Bayesian Network in Python Examples
  • Independencies in Bayesian Networks
  • Criteria for Model Selection
  • Building a Bayesian Network
    Goal: To give a brief understanding of Markov’s networks, independencies in Markov’s networks, Factor graph and Markov’s decision process.

Topics:
  • Example of a Markov Network or Undirected Graphical Model
  • Markov Model
  • Markov Property
  • Markov and Hidden Markov Models
  • The Factor Graph
  • Markov Decision Process
  • Decision Making under Uncertainty
  • Decision Making Scenarios
    Goal: To understand the need for inference and interpret inference in Bayesian and Markov’s Networks.

Topics:
  • Inference
  • Complexity in Inference
  • Exact Inference
  • Approximate Inference
  • Monte Carlo Algorithm
  • Gibb’s Sampling
  • Inference in Bayesian Networks
    Goal: To understand the Structures and Parametrization in graphical Models.

Topics:
  • General Ideas in Learning
  • Parameter Learning
  • Learning with Approximate Inference
  • Structure Learning
  • Model Learning: Parameter Estimation in Bayesian Networks
  • Model Learning: Parameter Estimation in Markov Networks
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Structure your learning and get a certificate to prove it.
    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.
    People who are interested/working in the Data Science field and have a basic idea of Machine Learning or Graphical Modelling, Researchers, Machine Learning and Artificial Intelligence enthusiasts.
Required Pre-requisites
  • Knowledge on Probability theories, statistics, Python, and Fundamentals of AI and ML

Edureka offers you complimentary self-paced courses
  • Statistics and Machine learning algorithms
  • Python Essentials

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

5000 Total number of reviews
4.57 Aggregate review score
80% Course completion rate
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Abhishek Shreshta

I have taken two courses (Informatica and Teradata) through Edureka. I think this is best online training platform that I had ever taken. I am very happy for getting trained from EDUREKA. The overall course is very much organized (Awesome). All the labs were on real time solution. After the training, I was confident to pursue my career in informatica and with a month I got a full time opportunity as a informatica developer. There was separate interview preparation session which really helps me to crack the informatica interview. Next, I am planning to take Big Data class. My overall experience with the edureka was awesome. I highly recommend everyone to join Edureka whoever is interested in learning online. Thank you Edureka!!

Madhu Gulla

I have been part of Edureka family more than an year and I appreciate all the effort that edureka make for bringing the required courses to make learning easier with affordable prices. I have been part of Java/J2EE and SOA course. The courses were brilliantly designed to make the leraners understand and gain confidence on what they are learning for. I got more than what I am looking for and gathered so much of information and confidence which makes me proceed in the direction which I wished to. Thanks for Edureka and their team!!!

Venkat Ramana link Test Architect at NCR corporation pvt ltd

Thanks for the quick reply and solving the issue. I was really impressed by your 24/7 support even during the festive period. I appreciate your service and the trainer for Bigdata is very friendly and we've learnt the subject in very effective way. Thanks Edureka for doing such a great things.

Sarvani Kare Sr. Software developer, Lockheed Martin Information Technology, Baltimore, Maryland Area

Very good courses covering lots of topics. Excellent class delivery and lecture notes. I really learnt a lot and will surely miss not having the classes any more. I will definitely keep in touch with edureka! and my instructor through LinkedIn and emails. I would also like to convey my special thanks to the edureka! support team for their prompt technical support that is available 24/7 and for their awesome Learning Management System (LMS) on the website with all the class recordings and the material.

Vijay Kalkundri link Principal Engineer at Reflektion, former Senior Test Engineer at Nokia

I had a great experience in taking the Hadoop course from Edureka. It is the only course in the market which facilitates the people from the Non development background to plug themselves into the Hadoop ecosystem. Edureka has provided a unique opportunity for the students around the world to connect to some of the best tutors. The tutors not only provide a very good theoretical explanation , but also help us to co-relate it with some real time examples. This gives a edge to the students and the working professional who attend the course.The best advantage of the Edureka course is the fact that we can attend the course from the comfort of our home as well as download the courses and listen to it over again and again. I am sure that Edureka will be playing a key role in filling the Gap of the Professionals which the Cloud ecosystem is currently facing. Cheers,Vijay Kalkundri - Good Session and one of the best instructor to have interfaced with at online.

Mehul Dave link JDA Solution Architect Lead/Manager , Capgemini

Edureka is most successful Instructor led online course institute. I completed many courses i.e. TOGAF, Big Data and Hadoop, MongoDB, Apache Spark, Apache Storm, PMP Preparation, Business Analytics with R , and Data Science from Edureka. Going forward i am planning to do additional courses as well when time permits. Course content is perfect to begin with new or advance in career and Instructors are also very highly knowledgeable. I recommend everyone to try courses from Edureka, thousands are satisfied and daily making improvement in their profession.

Tejinder Singh PGDCA, MSc(IT), MCA, M-tech(IT), Phd(CS)*, Lecturer, Baba Farid College, Punjab

There is a plethora of online training material available for Android; the reason I chose Edureka is the rare combination of great instructors, comprehensive course material . The course has a clear direction, which is perfect for efficiency-oriented professionals like us! What differentiates Edureka training from numerous other Android trainers is that they bring a lot of corporate experience on the table, and that is evident in their teaching techniques.

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Structure your learning and get a certificate to prove it.
    The system requirement is a system with an Intel i3 processor or above, minimum 3GB RAM (4GB recommended) and an operating system either of 32bit or 64bit.
    Cloud Lab has been provided to ensure you get real-time hands-on experience to practice your new skills on a pre-configured environment.

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.
"You will never miss a lecture at Edureka! You can choose either of the two options:
  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch."

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

For payments done using credit cards, to make this a No Cost EMI offer, the interest amount will be discounted from the price of the course. Your card will be charged for the course price minus the discounted interest. The total amount you will pay to the bank (excluding GST) will be equal to the price of the course. The bank will charge GST on the interest amount. For payments done using Razor Pay EMI, the price will not be discounted upfront. Instead, you will not be charged any interest for a No Cost EMI offer.
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