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	Stone, James V.     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 5 of 5 reviews       Artificial intelligence engines: a tutorial introduction to the mathematics of deep learning Stone J., Sebtel Press, Sheffield, UK, 2019. 216 pp.  Type: Book (978-0-956372-81-9) I teach several classes on machine learning (ML), at both the undergraduate and graduate levels. I am always looking for books that may provide new examples or ideas on how to teach ML to my students. The diversity in their knowledge o...... Oct 16 2019     Information theory: a tutorial introduction Stone J., Sebtel Press, Sheffield, UK, 2015. 248 pp.  Type: Book (978-0-956372-85-7) From the perspective of the omnipresent information and communication technologies, we are living now in a digital society, but our natural world remains mainly an analog one. Therefore, going from real data sources and transmission ch...... Mar 7 2016     Bayes’ rule: a tutorial introduction to Bayesian analysis Stone J., Sebtel Press, Lexington, KY, 2013. 180 pp.  Type: Book (978-0-956372-84-0) Data is everywhere these days. Big data is certainly a hot topic, but “small data” is often important as well. For instance, in computer vision, there may be a good model for a scene, but parameters of that model ar...... Jun 11 2014     Seeing: the computational approach to biological vision Frisby J., Stone J., The MIT Press, Cambridge, MA, 2010. 576 pp.  Type: Book (978-0-262514-27-9) I wish that this book had come out when I was a beginning graduate student in the early 1990s. For a student interested in using the tool of computer modeling to figure out how humans see, the standard books on computer vision, with th...... Feb 25 2011     Independent component analysis: a tutorial introduction Stone J., MIT Press, Cambridge, MA, 2004.  Type: Book (9780262693158) The independent component analysis (ICA) method is introduced in this excellent book, through examples from signal processing. It is addressed to beginners, as well as professionals, engineers, and scientists....... Mar 23 2005
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