Binding: Hardcover
Description: 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.
Title: Machine Learning With Neural Networks An Introduction For Scientists And Engineers
Author(s): Mehlig Bernhard (Goeteborgs Universitet Sweden)
Publisher: Cambridge University Press
Barcode: 9781108494939
Pages: 260 Pages, Worked Examples Or Exercises
Publication Date: 1/27/2022
Category: Neural Networks & Fuzzy Systems