Machine Learning with Neural Networks : An Introduction for Scientists and Engineers
Book Details
Format
Hardback or Cased Book
ISBN-10
1108494935
ISBN-13
9781108494939
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 28th, 2021
Print length
260 Pages
Weight
652 grams
Dimensions
18.00 x 25.10 x 1.80 cms
Product Classification:
Statistical physicsMachine learningNeural networks & fuzzy systems
Ksh 7,900.00
Manufactured on Demand
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This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. Fundamental physical and mathematical principles of the topic are described alongside current applications in science and engineering. Numerous exercises expand and reinforce key concepts within the book.
This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.
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