Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback))

Price: $115.00 – $49.60
(as of Dec 24,2024 08:26:39 UTC – Details)

ASIN ‏ : ‎ 0198538642
Publisher ‏ : ‎ Oxford University Press, USA; 1st edition (January 18, 1996)
Language ‏ : ‎ English
Paperback ‏ : ‎ 502 pages
ISBN-10 ‏ : ‎ 9780198538646
ISBN-13 ‏ : ‎ 978-0198538646
Item Weight ‏ : ‎ 1.65 pounds
Dimensions ‏ : ‎ 1.12 x 9.19 x 6.19 inches

In this post, we will delve into the fascinating world of neural networks for pattern recognition, specifically focusing on the advanced concepts discussed in the book “Neural Networks for Pattern Recognition” by Christopher M. Bishop.

Neural networks have revolutionized the field of pattern recognition, allowing machines to learn complex patterns and make intelligent decisions based on data. This book provides a comprehensive overview of neural network theory and applications in the field of econometrics.

Readers will gain a deep understanding of the mathematical foundations of neural networks, including topics such as feedforward networks, recurrent networks, and deep learning architectures. The book also covers advanced topics such as Bayesian neural networks, Gaussian processes, and variational inference.

By studying the concepts presented in this book, readers will be equipped with the knowledge and skills needed to apply neural networks to real-world problems in econometrics, finance, and other fields. Whether you are a student, researcher, or practitioner, “Neural Networks for Pattern Recognition” is a valuable resource for anyone interested in harnessing the power of neural networks for pattern recognition.
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