Are you looking for the best information theory ebooks? Based on expert reviews, we ranked them. We've listed our top-ranked picks, including the top-selling information theory ebooks.
We Recommended:
- Amazon Kindle Edition
- Stone, James V (Author)
- English (Publication Language)
- 04/05/2018 (Publication Date) - Sebtel Press (Publisher)
- Amazon Kindle Edition
- Cover, Thomas M. (Author)
- English (Publication Language)
- 772 Pages - 11/28/2012 (Publication Date) - Wiley-Interscience (Publisher)
- Amazon Kindle Edition
- Gleick, James (Author)
- English (Publication Language)
- 546 Pages - 03/01/2011 (Publication Date) - Vintage (Publisher)
- Amazon Kindle Edition
- Wilde, Mark M. (Author)
- English (Publication Language)
- 673 Pages - 04/30/2013 (Publication Date) - Cambridge University Press (Publisher)
- Amazon Kindle Edition
- Pierce, John R. (Author)
- English (Publication Language)
- 469 Pages - 04/26/2012 (Publication Date) - Dover Publications (Publisher)
- Amazon Kindle Edition
- Devine, Sean D (Author)
- English (Publication Language)
- 399 Pages - 06/11/2020 (Publication Date) - Institute of Physics Publishing (Publisher)
- Amazon Kindle Edition
- Reza, Fazlollah M. (Author)
- English (Publication Language)
- 528 Pages - 07/13/2012 (Publication Date) - Dover Publications (Publisher)
- Amazon Kindle Edition
- Hollos, Stefan (Author)
- English (Publication Language)
- 147 Pages - 06/05/2015 (Publication Date) - Abrazol Publishing (Publisher)
- Amazon Kindle Edition
- Floridi, Luciano (Author)
- English (Publication Language)
- 262 Pages - 01/21/2019 (Publication Date) - OUP Oxford (Publisher)
- Amazon Kindle Edition
- Gilder, George (Author)
- English (Publication Language)
- 370 Pages - 06/10/2013 (Publication Date) - Regnery Gateway (Publisher)
- Amazon Kindle Edition
- Ash, Robert B. (Author)
- English (Publication Language)
- 476 Pages - 06/14/2012 (Publication Date) - Dover Publications (Publisher)
- Amazon Kindle Edition
- Stone, James (Author)
- English (Publication Language)
- 09/25/2018 (Publication Date) - Sebtel Press (Publisher)
- Amazon Kindle Edition
- Kullback, Solomon (Author)
- English (Publication Language)
- 432 Pages - 09/11/2012 (Publication Date) - Dover Publications (Publisher)
- Amazon Kindle Edition
- Diosi, Lajos (Author)
- English (Publication Language)
- 176 Pages - 06/02/2011 (Publication Date) - Springer (Publisher)
- Amazon Kindle Edition
- Moser, Stefan M. (Author)
- English (Publication Language)
- 208 Pages - 01/26/2012 (Publication Date) - Cambridge University Press (Publisher)
- Amazon Kindle Edition
- Wilde, Mark M. (Author)
- English (Publication Language)
- 776 Pages - 02/06/2017 (Publication Date) - Cambridge University Press (Publisher)
- Amazon Kindle Edition
- Shyfrin, Eduard (Author)
- English (Publication Language)
- 146 Pages - 02/03/2019 (Publication Date) - White Raven Publishing (Publisher)
- Amazon Kindle Edition
- Chitode, Dr. J. S. (Author)
- English (Publication Language)
- 12/22/2020 (Publication Date) - TECHNICAL PUBLICATIONS (Publisher)
- Amazon Kindle Edition
- Brillouin, Leon (Author)
- English (Publication Language)
- 370 Pages - 07/17/2013 (Publication Date) - Dover Publications (Publisher)
- Amazon Kindle Edition
- Chen, Min (Author)
- English (Publication Language)
- 208 Pages - 09/19/2016 (Publication Date) - A K Peters/CRC Press (Publisher)
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FAQ:
Q: What are the three mathematical approaches to information?
A: An introductory, comparative account of three mathematical approaches to information: the classical quantitative theory of Claude Shannon, a qualitative theory developed by Fred Dretske, and a qualitative theory introduced by Barwise and Perry.
Q: What is network information theory and why is it important?
A: Network information theory deals with the fundamental limits on information flow in networks and optimal coding and protocols. These notes provide a broad coverage of key results, techniques, and open problems in network information theory.
Q: What is algorithmic information theory?
A: We introduce algorithmic information theory, also known as the theory of Kolmogorov complexity. We explain this quantitative approach to defining information and discuss the extent to which Kolmogorov’s and Shannon’s theory have a common purpose. The final version of a course on algorithmic information theory and the epistemology of mathematics.
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