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linear algebra

A New Matrix Mathematics for Deep Learning : Random Matrix Theory of Deep Learning

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Preamble     Figure: Definition of Randomness (Compagner 1991, Delft University)Development of deep learning systems (DLs)  increased our hopes to develop more autonomous systems. Based on the hierarchal learning of representations, deep learning defies the basic learning theory that beg the...

Book review: A tutorial introduction to the mathematics of deep learning

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Preamble Artificial Intelligence Engines:An introduction to the Mathematics of Deep Learning by Dr James V. Stone the book and Github repository. (c) 2019 Sebtel Press Deep learning and associated connectionist approaches are now applied routinely in industry and academic research from image...

Core principles of sustainable data science, machine learning and AI product development: Research as a core driver

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Kindly reposto to KDnuggets  by Gregory Piatetsky-Shapiro Preamble  Almost all businesses and industry embraced Machine learning (ML) technologies. Apart from ROI concerns, as it is an expensive endeavour to develop and deploy a service driven by ML techniques, sustainability as in going beyond...