Machine Learning for Gravitational Wave Astronomy - Concepts & Terminology

Explore the fundamental concepts and terminology of machine learning as applied to gravitational wave data analysis in this comprehensive lecture by Antonio Marquina from the University of Valencia. Delivered as part of IPAM's Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy Tutorial, this 82-minute presentation provides an essential introduction to the intersection of machine learning and gravitational wave astronomy. Gain insights into how these cutting-edge techniques are revolutionizing the field and enhancing our understanding of cosmic phenomena. Suitable for researchers, students, and professionals interested in the application of advanced computational methods in astrophysics.

Antonio Marquina - Machine Learning for Gravitational Wave Astronomy: concepts & terminology