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Archived Seminar

Knowledge Discovery in Financial Data with Bayesian Networks and BayesiaLab

This seminar was held on June 19, 2018, at DePaul University in Chicago. A video recording is currently not available.

Seminar Materials

Seminar Overview

Given the popularity of our S&P 500 example for high-dimensional unsupervised learning, we now return to studying financial markets with a brand-new seminar program.

In this seminar, we cover several of examples unsupervised machine learning with BayesiaLab:

  • Currency Exchange Rates
  • Industry Indices
  • Fundamental Stock Analysis
  • ETF Flows

Our objective is to demonstrate that Bayesian networks are an ideal framework for exploring, understanding, and communicating complex relationships in the world of finance. The inherently visual nature of Bayesian networks can be leveraged through BayesiaLab's 2D, 3D, and VR visualizations, all of which we plan to showcase at the seminar.

BayesiaLab Courses

March 29, 2019 Singapore BayesiaLab 101 Short Course (1 Day)
April 1, 2019 Bangalore, India BayesiaLab 101 Short Course (1 Day)
April 2–4, 2019 Amsterdam, Netherlands Introductory Course (3 Days)
April 3, 2019 Gurgaon, India BayesiaLab 101 Short Course (1 Day)
April 5, 2019 Mumbai, India BayesiaLab 101 Short Course (1 Day)
May 8–10, 2019 Singapore Introductory Course (3 Days)
May 13–15, 2019 Sydney, Australia Introductory Course (3 Days)
May 21–23, 2019 Paris, France Advanced Course (3 Days, in French) 
June 12–14, 2019 Seattle, WA Introductory Course (3 Days)
June 17–19, 2019 Seattle, WA Advanced Course (3 Days)

Upcoming Seminars, Webinars, and Conferences

Public Seminar at Nanyang Technological University, Singapore March 28, 2019 13:00 – 16:00 (UTC+8) Human-Machine Teaming in Practice:
Bayesian Networks as a Collaborative Approach to Artificial Intelligence
Live Webinar April 25, 2019 11:00 – 12:00 (CDT, UTC-5) Black Swans & Bayesian Networks
Live Webinar May 16, 2019 11:00 – 12:00 (CDT, UTC-5) Human-Machine Teaming
Live Webinar May 30, 2019 11:00 – 12:00 (CDT, UTC-5) Causal Counterfactuals for Contribution Analysis — Explaining a Misunderstood Concept with Bayesian Networks
Please check out our archive of recordings of previous events.

7th Annual BayesiaLab Conference

October 7–9, 2019 Durham, NC 3-Day Introductory Course
October 10–11, 2019 Durham, NC 7th Annual BayesiaLab Conference
October 14–16, 2019 Durham, NC 3-Day Advanced Course