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Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications

Edited by Herb Kunze, Edited by Davide La Torre, Edited by Adam Riccoboni, Edited by Manuel Ruiz Galán

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normal price: R 2 905.95

Price: R 2 760.95


| book description |

The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the intersection between mathematics and AI/ML and provides an overview of the current research streams. Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses the theory behind ML and shows how mathematics can be used in AI. The book illustrates how to improve existing algorithms by using advanced mathematics and offers cutting-edge AI technologies. The book goes on to discuss how ML can support mathematical modeling and how to simulate data by using artificial neural networks. Future integration between ML and complex mathematical techniques is also highlighted within the book. This book is written for researchers, practitioners, engineers, and AI consultants.

| product details |



Normally shipped | This title will be printed on demand for your order. Delivery will be 6 weeks or less.
Publisher | Taylor & Francis Ltd
Published date | 19 Dec 2024
Language |
Format | Paperback / softback
Pages | 513
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 980g
ISBN | 978-1-0322-5568-2
Readership Age |
BISAC |


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 3 471.95
Price | R 3 297.95 | on special |



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