David Barber - Computers - 2012 - 697 pages
A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
Steven W. Smith - Computers - 2003 - 650 pages
Designed for engineers and scientists in a wide variety of fields, this practical text aims to explain DSP techniques while avoiding the barriers of abstract theory and ...
Kevin P. Murphy - Computers - 2012 - 1067 pages
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
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Recognition and learning by a computer. Representing information. Generation and transformation of representations. Pattern feature extraction. Pattern understanding methods ...