classsification

Mar 28 2020

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...

machine learning deep learning statistical learning statistical physics linear algebra mathematics of neural networks connectionist machine learning classsification

Nov 17 2017

Teaching to machines: What is learning in machine learning entails?

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Preamble Ebbinghaus (WikipediaMachine Learning (ML) is now a de-facto skill for every quantitative job and almost every industry embraced it, even though fundamentals of the field is not new at all. However, what does it mean to teach to a machine? Unfortunately, for even moderate technical people...

machine learning data science data analysis statistical learning hebbian learning supervised learning gnu r learning theory function inference clustering classsification r hebbian theory r project