30 Hours(For Regular Course)

4-8 Hours(For Capsule Course)

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Bayesian Networks

This web-based training course on Bayesian Networks functionality, administration and development, is available online to all individuals, institutions, corporates and enterprises in India (New Delhi NCR, Bangalore, Chennai, Kolkatta), US, UK, Canada, Australia, Singapore, United Arab Emirates (UAE), China and South Africa. No matter where you are located, you can enroll for any training with us - because all our training sessions are delivered online by live instructors using interactive, intensive learning methods.

This course helps trainees to learn about Bayesian networks. The Bayesian is basically a type of statistical model that represents a set of random variables and their dependencies via a DAG (Directed Acyclic Graph). Generally, Bayesian networks are DAGs whose nodes represent random variables in the Bayesian sense: they might be observable quantities, unknown parameters or hypotheses. With the help of this training program trainees will learn probabilistic logic sampling methods, parameters and structural learning, Bayesian mixture models and applications in the different practical problems set up. This training program further helps to build various concepts for dynamic Bayesian networks, object oriented Bayesian networks. This training program is helpful for both beginners and intermediate professionals to enhance their skills in Bayesian networks.

Parametric Bayesian Networks

  • Introduction
  • To understand the concept with an example - Discrete Random Variables
  • Conditional Independence
  • D-Separation in DAG
  • Concept of Markov Blanket
  • Parameters and Structural Learning
  • Probabilistic Logic Sampling Method
  • Computational Example using “bnlearn” package in R
  • Sampling From a Bayesian Network in R

Estimate the Conditional Probability Distribution under known Network Structure

Excellence in Bayesian Network Models

Nonparametric Bayesian Network

  • To model the complex interactions in a multilevel structure
  • Bayesian Mixture Models
  • Optimal Junction Tree that represents a mixture
  • Applications of Dirichlet and Polya Tree Models in Bayesian Graphs
  • Applications in the different practical problems set up

Bayesian networks are a modeling language than an algorithm. The biggest advantage is that one can easily and clearly specify the dependence between variables. The dimensions of the model are reduced, so less data is required to learn the parameters accurately. Bayesian networks are used for modeling beliefs in computational biology and bioinformatics, medicines, document classification, semantic searching, image processing, data fusion, engineering, decision support system, gaming, law and risk analysis. Bayesian network can perform three types of inference: deductive, diagnostic, and inter-causal. With getting exposures to this training course trainees will get the necessary skills and desire knowledge that will help them to get the desired job. Also, this course is more application focused as compared to theory focused in order to give the trainees a profound usability experience and procedures.

1. Are lab-sessions available after theory sessions?

We provide online lab facilities to all our students, wherever possible & applicable, using a combination of one or more options, including global ASP setups, live-environments, real-time simulations, training-videos, PPTs, Screenshots and others.

2. Who and how qualified are the instructors?

All our instructors go through a rigorous and multiple processes of filtering and selection before they are appointed by us. Only the most qualified, most experienced and best suited candidates are chosen as instructors.

3.What are the machine requirements for the course?

You must have a fairly good desktop PC or laptop. You can even access these courses on your tabs or smart phones. For PCs and laptops the configuration should be at-least an Intel Pentium processor, 4GB of RAM and 50 to 100 GB of free hard disk space. You must also have a good and steady WiFi internet connection which works at 3G or 4G speeds.

4.How will I undergo practical training in the course?

Depending on the type of lab facilities available for the course you have enrolled in for our instructor would be happy to help you in your lab sessions.

5.What is the process to get my questions/queries answered?

Get in touch with your trainer. You can also consult your batch-mates. We believe in collaborative and practical learning.

6.Can a free demo session be provided?

We do not provide free demo sessions.

7.Will there be a provision for repetition if I miss a class?

We encourage our trainees to attend all sessions. If you have missed a session we will try out best to update you on it, if possible. Else you will need to pay a small fee to have a repeat session arranged specifically for you.

8.Does your organization provide assistance in job hunting?

We are connected across the industry in India and abroad. We will pass on any job openings from our customer to our trainees. But we are not a manpower placement provider.

9.How and where can I make the payment?

You can pay using any credit or debit card in India or abroad. You can also pay using your PayPal account.

10. Will practice material or tests be also provided with the course?

Yes. As required & as applicable.

11.What is the minimum or maximum batch size?

Minimum/maximum batch sizes vary from course to course, depending upon a number of factors. It can vary from as few as 2 to as many as a few hundred, in some cases. But that number does not impact the quality of training that we deliver due to our tight quality-control mechanisms.

All trainees will be provided with a course participation and completion certificate by Aurelius Corporate Solutions. Please note, we are an independent provider of learning solutions. We are not affiliated in any manner to any company or organization.

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