Deep Learning Manual: Foundations - Prueitt, Paul Stephen

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Biographie:
Professor Paul Stephen Prueitt has taught mathematics, economics, physics and computer science courses in community colleges, universities, and four-year colleges. He has served as Research Professor in Physics at Georgetown University and Research Professor of Computer Science at George Washington University. He served as Associate Professor or Assistant Professor of Mathematics at HBCUs in Virginia, Tennessee, Alabama and Georgia. Prueitt was co-director of an international research center at Georgetown University (1991-1994). He is a NSF reviewer and Principle Investigator. He served for over a decade as an independent consultant focused on information infrastructure, software platforms and intelligence algorithms. He consulted on national intelligence software platforms and continues this work under private contracts. His post-Master's training in pure and applied mathematics focused on real analysis, topology and numerical analysis. His PhD was earned in 1988 from The University of Texas at Arlington. The dissertation was developed using differential and difference equations as models of neural and immunological function. He has over sixty-five publications in journals, books or as conference papers. Motivated by a desire to understand the nature of the American educational crisis, he served for seven years at Historical Black Colleges and Universities, including an open door minority serving institution in Atlanta Georgia.