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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

September 18–20, 2019 Paris, France Introductory Course (3 Days)
September 23–25, 2019 Paris, France Advanced Course (3 Days)
October 7–9, 2019 Durham, NC Introductory Course (3 Days)
October 14–16, 2019 Durham, NC Advanced Course (3 Days)

Upcoming Seminars, Webinars, and Conferences

August 28, 2019, 11 a.m. (CDT, UTC-5) Live Webinar What is Importance?
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