Gravitational Waves Detection - Kaggle Competition

In this part, I shall go through the introduction on Gravitational waves, fundamentals of digital signal processing which is required to model gravitational waves, and how Machine-Learning and Deep-Learning have become one of the most crucial tool now to handle this fascinating phenomenon that was first proposed by Einstein himself in his landmark paper in 1916. In the June of 1916, Einstein presented to the Prussian Academy of Sciences his paper, in which he first proposed the existence of gravitational waves, published later under the title, "Approximate Integration of the Field Equations of Gravitation". In this competition, we are provided with a training set of time series data containing simulated gravitational wave measurements from a network of 3 gravitational wave interferometers (LIGO Hanford, LIGO Livingston, and Virgo). Each time series contains either detector noise or detector noise plus a simulated gravitational wave signal. The task is to identify when a signal is present in the data (target 1).