Information Theory: A Tutorial Introduction (A Tutorial Introduction Book) (英語) ペーパーバック – 2013/8/4
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"This is a really great book - it describes a simple and beautiful idea in a way that is accessible for novices and experts alike. This "simple idea" is that information is a formal quantity that underlies nearly everything we do. In this book, Stone leads us through Shannon's fundamental insights; starting with the basics of probability and ending with a range of applications including thermodynamics, telecommunications, computational neuroscience and evolution. There are some lovely anecdotes: I particularly liked the account of how Samuel Morse (inventor of the Morse code) pre-empted modern notions of efficient coding by counting how many copies of each letter were held in stock in a printer's workshop. The treatment of natural selection as "a means by which information about the environment is incorporated into DNA" is both compelling and entertaining. The substance of this book is a clear exposition of information theory, written in an intuitive fashion (true to Stone's observation that "rigour follows insight"). Indeed, I wish that this text had been available when I was learning about information theory. Stone has managed to distil all of the key ideas in information theory into a coherent story. Every idea and equation that underpins recent advances in technology and the life sciences can be found in this informative little book. " Professor Karl Friston, Fellow of the Royal Society. Scientific Director of the Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London. "Information lies at the heart of biology, societies depend on it, and our ability to process information ever more efficiently is transforming our lives. By introducing the theory that enabled our information revolution, this book describes what information is, how it can be communicated efficiently, and why it underpins our understanding of biology, brains, and physical reality. Its tutorial approach develops a deep intuitive understanding using the minimum number of elementary equations. Thus, this superb introduction not only enables scientists of all persuasions to appreciate the relevance of information theory, it also equips them to start using it. The same goes for students. I have used a handout to teach elementary information theory to biologists and neuroscientists for many years. I will throw away my handout and use this book. " Simon Laughlin, Professor of Neurobiology, Fellow of the Royal Society, Department of Zoology, University of Cambridge, England.
|星5つ 66% (66%)||66%|
|星4つ 20% (20%)||20%|
|星3つ 7% (7%)||7%|
|星2つ 4% (4%)||4%|
|星1つ 4% (4%)||4%|
Mr. T. Browne
Finally the correct learning curve2016年8月7日に英国でレビュー済み
At last a book which is pragmatic, and properly so. So many other books are written by people whose entire life is about the subject at hand, they obviously find it easy, and run through the basics at 100mph. Here is a book where, clearly the author is still a professional, but understands completely that "baby steps", appealing first to intuition, is the initial way forward. This has the perfectly sloped learning curve for the person who is not a post-grad doctoral candidate in maths or physics (read: I'm a computer scientist and greek letter overload is just not my thing), yet it develops the concepts into rigour as one goes along. Would that all scientific textbooks were written this way.
Good book, pity about the quality of the print.2017年9月25日に英国でレビュー済み
Great introductory book on this topic. 1 star dinked as the quality of the book was mediocre. This book is printed by Amazon, UK (it says so in the back matter). The print and paper quality is, unfortunately, not as good as you would get with an 'off the shelf' book. If buying again, I'd try to get a publishers edition secondhand. I have given feedback directly to Amazon customer care about this.
Good introduction, with some interesting examples2018年3月7日に英国でレビュー済み
Good introduction, with some interesting examples. The writing style is easy to follow, but some part are a bit too dry for my taste. I still recommend it over other more complex and boring books on this subject.
A Great Introduction2019年5月11日に英国でレビュー済み
This is easily the best and most concise introduction to Information Theory that ive read, and ive read a lot. The author takes time to elaborate the detail and anchors it around the insight that the detail is to express. I spent the whole of last christmas reading it, and it was a pleasure to finally get to grips with the theory.
A clear, well presented introduction to the main ideas of information theory. A number of illustrative applications are presented.
Probably the best introductory book on Information theory so far.2016年1月10日に英国でレビュー済み
Dr. Stone's approach is very clear with easy explanations for practical information theory.
it's a great book for starting2015年11月13日に英国でレビュー済み
Very well written, it's a great book for starting! To be a 5 stars book, I just would like a hands-on exercise section at the end of each chapters...
Very good introduction to Shannon's theory2019年6月25日にドイツでレビュー済み
I found this book to be clear and effective in helping me understand Information Theory. I appreciated how the author spends time clarifying some concepts that can be misleading for the modern reader (like the difference between bits as a measure of information, and bits as "binary digits").
Very good book but defective production2017年7月24日にインドでレビュー済み
Very good book; very lucid writing for beginners. I received it on 5 July, 2017 but the problem was that many pages that are simply white without any printing. I noticed TWELVE such pages and they are. 12-13, 16-17, 92-93, 96-97, 220-221, 224-225. These types of problems generally originate during forma priting and therefore, these problems will be there in the WHOLE LOT/BATCH and; the defective pages will be the same for the whole LOT/BATCH. I received a replacement but with the same problem and ultimately I had to return it(see the attached images).
Best for understanding concepts information theory.2017年4月15日にカナダでレビュー済み
Easy to understand for engineers book. I got it because of the entropy of continuous variables topic but read some more fantastic chapters like noisy channel coding theory, information as for nature's currency and some other chapters comparing information theory and thermodynamic. I highly recommend the book for those who are interested in concepts of data and entropy.
Very clear introduction2019年8月26日にドイツでレビュー済み
I found the approach to the basic formulas very helpful. The book provides a lot of simple, real life examples of interpreting events from the point of view of their information content. I am able to explain the basics now!
sigh! even though the others have clearly pointed out ...2017年8月7日にインドでレビュー済み
sigh! even though the others have clearly pointed out the problem with defective printing. The same books are being sent out clearly! I got one copy today hoping the problem is fixed but sadly no.
Amazon, this is becoming a farce - please help.
Amazon, this is becoming a farce - please help.