BISHOP:NEURAL NETWORKS FOR PATTERN RECOGNITION PAPER (Advanced Texts in Econometrics (Paperback)) [Paperback] BISHOP, Christopher M.
BISHOP:NEURAL NETWORKS FOR PATTERN RECOGNITION PAPER (Advanced Texts in Econometrics (Paperback)) [Paperback] BISHOP, Christopher M.
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Return Policy 1. Return Window - Eligible for return within 30 days of delivery. 2091. Return Conditions - The book must be brand new (unused, unmarked, and undamaged). Important Notes: If the returned book is damaged or missing components, the refund may be denied. If the book arrives damaged (e.g., due to shipping issues), a full refund will be issued. For returns due to non-quality issues (e.g., buyer’s change of mind), the customer must cover return shipping costs.
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A good book if you are looking for learning mathematical teory of Neural Networks or set a parameters of comercial application. Not recommended for beginners
This is a recommended book to read for people who would like to read about statistics and maths. People with few knowledge about these sciences will find it a bit difficult to read.
The theories of NN and PR are quite difficult to understand. But this book makes them much easier. The author can explain the concepts without using too much formula. If other authors could follow his step then the life is much easier!
This book is not for beginners. It is heavy into the mathematical side of neural networks. I bought this book hoping to be able to take away the overall picture, a more conceptual overview, but my ignorance in math prevented that. In one sentence:Way over my head.I'll give it 5 stars because the people who could understand it seem to think the world of it :)
I found the clarity of the math and technical aspects of pattern exposition to be extremely high. The more math, in particular statistics, one has the better, but still does an excellent job in explaining some of the basic concepts for those who have not had sufficient exposure to them.Certainly fundamental and I would consider a valid university text.
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