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Engineering Mathematics and Artificial Intelligence

By: Herb (University of Guelph) Kunze (Author) , Davide (SKEMA Businees School and Universite Cote d'Azur) La Torre (Author) , Adam Riccoboni (Author)

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Ksh 36,000.00

Format: Hardback or Cased Book

ISBN-13: 9781032255675

Publisher: Taylor & Francis Ltd

Publication Date: Jul 26th, 2023

Dimension: 23.40 x 15.60 x 113.80 cms

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The fields of Artificial Intelligence and Machine Learning 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.

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