Workshop: Probabilistic Modelling with Bayesian Networks

Workshop: Probabilistic Modelling with Bayesian Networks

Understanding how Bayesian Networks for data modelling

Bayesian networks (BNs) are graphical structures that capture the probabilistic relationships between several random variables. They are a natural fit for scenarios that can benefit from both causal as well as probabilistic semantics, thereby, gracefully combining prior knowledge (in causal form) and knowledge from data.

In this tutorial, we will discuss methods to construct Bayesian networks from prior knowledge and statistical methods to improve these models through data. We will cover the exact and approximate inference techniques as well as techniques to learn the parameters and structure of BNs. We will illustrate the BN modeling approach using a real-world case study.

Workshop course contents and schedule:

This workshop will cover:

  1. Introduction to Bayesian Networks.
  2. How Inference works in Bayesian Networks
  3. Parameter learning
  4. Bayesian structure learning
  5. Real-world applications

Full workshop schedule:


Participants should bring their own laptops to participate in the workshop.

About the instructor:

Ashish Kulkarni has over 10 years of industry experience and currently heads the Data Science Lab at Clustr. He holds a Ph.D. in Computer Science from IIT Bombay and has published papers in top tier conferences including AAAI, IJCAI and others. Prior to joining Clustr, he worked as an applied machine learning scientist at Amazon.

Workshop details:

Date: Saturday, 18 January 2019
Time: 9:30 AM to 2:50 PM
Venue: Accel LaunchPad, 886/A, Confident Electra, Opposite to Koramangala Club, 17th E Main Road, Koramangala 6 Block, Koramangala, Bangalore - 560095

Contact details:

For tickets and other inquiries, email or call 7676332020.


Accel LaunchPad

886/A, Confident Electra, Opposite to Koramangala Club

17th E Main Road, Koramangala 6 Block, Koramangala

Bangalore - 560095

Karnataka, IN


This project is brought to you by

Anthill Inside is a forum for conversations about Artificial Intelligence and Deep Learning, including: Read more