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Probabilistic Graphical Models Certification Training

4,644 Ratings

Intellipaat Graphical Models Certification Training is designed by industry experts to assist you to learn and gain expertise in Graphical Modeling which is one of the core areas of Machine Learning. You will be trained on concepts like Graphical Modeling, Bayesian Methods, Markov Networks, Gibb's Sampling, Decision Theory, and Inference. This course will enable you to learn how to make decisions in uncertain circumstances.

Key Highlights

15 Hrs Instructor Led Training
30 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
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Graphical Models Certification Overview

Who should learn this course?

  • Data Scientists or Data Analysts
  • Those who have basic knowledge of Machine Learning
  • Those who belong to the research domain
  • Artificial Intelligence and Machine Learning enthusiasts

It will be helpful if you know the following skills:

  • Python
  • Fundamentals of Machine Learning and Artificial Intelligence
  • Knowledge of Probability and Statistics
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Career Transition

55% Average Salary Hike

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*Past record is no guarantee of future job prospects

Course Fees

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 15 Hrs of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekend (Sat-Sun)

14 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

21 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

28 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

04 Jan 2025 08:00 PM - 11:00 PM
16,017 10% OFF Expires in

EMI Starts at

₹5,000

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs

Financing Partners

EMI Partner

The credit facility is provided by a third-party credit facility provider and any arrangement with such third party is outside Intellipaat’s purview.

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  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Probabilistic Graphical Models Course Curriculum

Live Course

Overview of Graphical Models

Graphical Models, Probabilistic methods of Graphical Models, requirement of Graphical Models, uses and types of Graphical Models, components of Graphical Models, how to manage uncertainty using Graphical Models, Graphical Modes, Graphical Model Inference, Decision Theory

Introduction to Bayesian Network, Bayesian Network and its role id data analysis, choosing a model, designing a Bayesian Network, Python and Bayesian Network

What is Inference, Complexing in Inference, Exact and Approximate Inference, Gibb’s Sampling, Monte Carlo Algorithm, Bayesian Networks and Inference, Graphical Models using Inference

Overview on Markov Properties and Markov Model, Markov Decision Process, Making Decision under Uncertain Circumstances, Factor Graphs, Hidden Markov Models

Learning Graphical Models, Parameter Learning, Structure Learning, Parameter Estimation with Bayesian Networks and Markov Networks, Use of Graphical Models for Supervised and Unsupervised Learning

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Probabilistic Graphical Models Certification

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This course is designed for clearing the Intellipaat Graphical Models Certification Exam. The entire Graphical Models training course content is designed by industry professionals to get the best jobs in the top MNCs.

At the end of training program, there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and helps you score better marks in the certification exam.

Intellipaat Course Completion Certification will be awarded on the completion of Project work (on expert review) and upon scoring of at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

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Frequently Asked Questions on Probabilistic Graphical Models

Why Should I Learn Graphical Models certification training from Intellipaat?

Intellipaat offers comprehensive training in Graphical Models through hands-on real-world projects and case studies. As part of the training, you will learn the fundamentals of Graphical Modeling, Bayesian Methods, Markov Networks, and Inference. Upon successful completion of the training, you will be awarded the Intellipaat Graphical Models Certification.

As part of this online course, you will be working on real-time projects that have high relevance in the corporate world, step-by-step assignments, and curriculum designed by industry experts. This course assists you to fast track your career effortlessly. Upon completion of the online course, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 Support, and course material upgrading to latest version at no extra fees. Hence it is clearly a one-time investment for lifetime benefits.

3 technical 1:1 sessions per month will be allowed.

Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

No, our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

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