Talks and Presentations

PRICAI’24 tutorial: Machine Learning for Streaming Data

November 18, 2024

Tutorial, Clock Tower Centennial Hall, Kyoto University

Our tutorial covers essential aspects of machine learning for streaming data, focusing on the challenges of concept drift detection and evolving data streams. Attendees explored hands-on examples using CapyMOA, an open-source library with a Python API, including practical exercises and real-time implementation demonstrations.

ICONIP’24 tutorial: Machine Learning for Streaming Data

December 2, 2024

Tutorial, Auckland University of Technology

This tutorial highlighted the latest research topics in streaming data, with a focus on adaptive algorithms for evolving environments. Practical demonstrations using CapyMOA showed attendees how to implement and assess algorithms for delayed labeled streams and real-time applications. The session featured interactive exercises and multiple examples.