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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

Dates Location Program
At your convenience On your desktop/laptop Introductory Course (60-Day Self-Study Edition)
At your convenience On your desktop/laptop Advanced Course (60-Day Self-Study Edition)
March 24–26, 2020 — CANCELLED Boston, MA, USA 3-Day Introductory Course
April 7–9, 2020 — CANCELLED  Paris, France 3-Day Introductory Course
May 6–8, 2020 Seattle, WA, USA 3-Day Introductory Course
May 11–13, 2020 Seattle, WA, USA 3-Day Advanced Course
June 15–17, 2020 Paris, France 3-Day Advanced Course
October 5–7, 2020 Toronto, ON, Canada 3-Day Introductory Course
October 13–15, 2020 Toronto, ON, Canada 3-Day Advanced Course

8th Annual BayesiaLab Conference

October 5–7, 2020 Toronto, ON, Canada 3-Day Introductory Course
October 8–9, 2020 Toronto, ON, Canada 8th Annual BayesiaLab Conference
October 13–15, 2020 Toronto, ON, Canada 3-Day Advanced Course