Machine Learning with Neural Networks - An Introduction for Scientists and Engineers (Hardcover, New edition)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	October 2021
Authors:	Bernhard Mehlig
Dimensions:	250 x 174 x 16mm (L x W x T)
Format:	Hardcover
Pages:	260
Edition:	New edition
ISBN-13:	978-1-108-49493-9
Categories:	Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Promotions
LSN:	1-108-49493-5
Barcode:	9781108494939

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!