Title: Statistical Signal Processing & Machine Learning in Computational Finance
Speaker: Dr. George Tzagkarakis
Event: Data Analysis & Machine-Statistical Learning Graduate Programme, Department of Computer Science, University of Crete
Date: October 11, 2024
Location: Heraklion, Greece
Dr. G. Tzagkarakis delivered a talk on the intersection of statistical signal processing and machine learning with computational finance. The seminar explored how advanced signal processing techniques and probabilistic models can enhance financial data analysis, risk assessment, and predictive modeling. Attendees gained insights into practical applications of machine learning in finance, with a focus on addressing challenges such as market volatility, anomaly detection, and time series forecasting. This outreach activity was part of the graduate programme on Data Analysis & Machine-Statistical Learning, aiming to bridge theoretical concepts with real-world applications.