Machine Learning, AI, Healthtech, Biotechnology, Signal Processing.
flexibility. Raw signal (left) and sample histogram with an overlaying KDE (right). A KDE fit to the data (left) vs a Gaussian distribution (right). It is clear to see that the KDE captures both much greater granularity, as well as the inherent asymmetry in the data. Modeling the KDE Output After