Who should attend
- 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
What are the prerequisites for taking up the Graphical Models Certification Training?
It will be helpful if you know the following skills:
- Fundamentals of Machine Learning and Artificial Intelligence
- Knowledge of Probability and Statistics
About the course
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.
About Graphical Models Certification Course
This Intellipaat Graphical Models Certification Training will allow you to master all core concepts of Graphical Models. You will learn about Bayesian Methods, Markov Networks, Presentation of both the methods, Inference, Gibb’s Sampling, Decision Theory, Learning Graphical Models, Parameter Learning, Structure Learning, and Usage of Graphical Models for Supervised and Unsupervised Learning.
Probabilistic Graphical Models Course Content
- 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
- Bayesian Methods
Introduction to Bayesian Network, Bayesian Network and its role id data analysis, choosing a model, designing a Bayesian Network, Python and Bayesian Network
- Introduction to Inference
What is Inference, Complexing in Inference, Exact and Approximate Inference, Gibb’s Sampling, Monte Carlo Algorithm, Bayesian Networks and Inference, Graphical Models using Inference
- Markov Networks
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
Probabilistic Graphical Models Certification
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.
Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.