Engineering Mathematics and Artificial Intelligence : Foundations, Methods, and Applications Hardback
Edited by Herb (University of Guelph) Kunze, Davide (SKEMA Businees School and Universite Cote d'Azur) La Torre, Adam Riccoboni, Manuel Ruiz Galan
Part of the Mathematics and its Applications series
Hardback
- Information
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.
Information
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Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:513 pages, 21 Tables, black and white; 82 Line drawings, black and white; 64 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:26/07/2023
- Category:
- ISBN:9781032255675
£155.00
£124.49
Information
-
Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:513 pages, 21 Tables, black and white; 82 Line drawings, black and white; 64 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:26/07/2023
- Category:
- ISBN:9781032255675
