Santi co-founded RocketML, where his team is building a superfast engine for building machine learning models. Before that, Santi worked as a Product manager and software development lead at Intel’s technology and manufacturing group. Prior to Intel, he got his Ph.D. in computational sciences from the University of Pennsylvania. His areas of expertise include high-performance computing, non-linear optimization, partial differential equations, machine learning, and big data.
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This talk will focus on describing a matrix decomposition technique called Singular Value Decomposition that conveys important geometrical and theoretical insights about linear transformations. This technique is not as famous as it should be given the range of applications from science and engineering.