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.
- Presentation Slides (PDF, 63 MB)
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.