Data heterogeneity is common across many high-impact application domains, ranging from financial fraud detection to healthcare, from manufacturing to traffic analytics.
PRESENTED BY:
MARK P. BRYNILDSEN, PH.D.,
Associate Professor in Chemical and Biological Engineering,
School of Engineering & Applied Science,
Princeton University,
Princeton, NJ