Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications
Kunze, Herb, La Torre, Davide, Riccoboni, Adam
商品描述
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.
商品描述(中文翻譯)
人工智慧（AI）和機器學習（ML）領域近年來取得了巨大的發展，並且有越來越多成功應用的領域。本書是對數學與AI/ML交叉領域感興趣的人的重要參考資料，並提供了當前研究方向的概述。
《工程數學與人工智慧：基礎、方法和應用》討論了ML背後的理論，並展示了數學如何應用於AI。本書說明了如何通過使用先進的數學來改進現有算法，並提供了尖端的AI技術。書中還討論了ML如何支持數學建模，以及如何通過使用人工神經網絡來模擬數據。書中還強調了ML與複雜數學技術之間的未來整合。
本書針對研究人員、從業人員、工程師和AI顧問撰寫。
作者簡介
Herb Kunze is a Professor of Mathematics at the University of Guelph, in Guelph, Ontario, Canada. He received his Ph.D. in Applied Mathematics from the University of Waterloo in 1997. He has held research funding from the Natural Sciences and Engineering Research Council (NSERC) throughout his career. Among his research interests are fractal-based methods in analysis, including a wide array of both direct and inverse problems; neural networks and artificial intelligence; mathematical imaging; and qualitative properties of differential equations. His work combines rigorous theoretical elements with application-driven considerations. He has over 100 research publications, generally in high-impact, refereed journals.
Davide La Torre is an Applied Mathematician, Researcher, and University Professor. Currently he holds the position of Full Professor and Director of the SKEMA Institute for Artificial Intelligence. He is also the Head of the (Programme Grande Ecole) Finance and Quants track. His research and teaching interests include Artificial Intelligence and Machine Learning for Business, Business and Industrial Analytics, Economic Dynamics, Mathematical and Statistical Modeling, Operations Management, Operations Research, and Portfolio Management. He holds a master's in Applied and Industrial Mathematics (1997, magna cum laude) and a Ph.D. in Computational Mathematics and Operations Research (2002) both from the University of Milan, Milan, Italy, and an HDR in Applied Mathematics from the Université Côte d'Azur (2021). He also holds professional certificates in Big Data and Analytics (2017), Machine Learning, and Quantum Computing (2021) from the Massachusetts Institute of Technology, Cambridge, USA. In the past, he held permanent and visiting university professor positions in Europe, Canada, the Middle East, Central Asia, and Australia. He also served as Departmental Chair and Program Head at several universities. He has more than 150 publications in Scopus, most of them published journals ranging from Engineering to Business.
Adam Riccoboni is an AI entrepreneur, an author, and the CEO of Critical Future, a technology and strategy consultancy, trusted by some of the world's biggest brands, with a strong record in pioneering AI development. He is an Award-winning entrepreneur, the founder of high-growth businesses, as featured in the Financial Times, ESPN, BBC, USA Today. He is also a Guest Lecturer on Artificial Intelligence at ESCP, UK Business School.
Manuel Ruiz Galán received his Ph. D, from the University of Granada, Spain in 1999. He is a Full Professor in the Mathematics Department at the University of Granada, Spain with more than 50 research papers and book chapters to his credit. Dr. Galán has been a member and principal investigator in several projects with national funds (Spanish Government), particularly on topics focusing on convex and numerical analysis and their applications. He has acted as a guest editor for some special issues of the journal Optimization and Engineering, Mathematical Problems in Engineering, and the Journal of Function Spaces and Applications. In addition, he is a member of the editorial board of the publication Minimax Inequalities and its Applications.
作者簡介(中文翻譯)
Herb Kunze是加拿大安大略省Guelph市的Guelph大學數學教授。他於1997年從滑鐵盧大學獲得應用數學博士學位。他在整個職業生涯中一直獲得加拿大自然科學和工程研究委員會（NSERC）的研究資助。他的研究興趣包括基於分形的分析方法，包括各種直接和反問題；神經網絡和人工智能；數學成像；以及微分方程的定性性質。他的工作結合了嚴謹的理論元素和應用驅動的考慮。他在高影響力的同行評審期刊上發表了100多篇研究論文。
Davide La Torre是應用數學家、研究員和大學教授。目前，他擔任SKEMA人工智能研究所的全職教授和主任。他還是（Programme Grande Ecole）金融和量化跟踪項目的負責人。他的研究和教學興趣包括商業的人工智能和機器學習、商業和工業分析、經濟動態、數學和統計建模、運營管理、運營研究和投資組合管理。他擁有米蘭大學應用和工業數學碩士學位（1997年，優等榮譽）和計算數學和運營研究博士學位（2002年），以及法國尼斯大學應用數學HDR學位（2021年）。他還擁有麻省理工學院（MIT）的大數據和分析（2017年）、機器學習和量子計算（2021年）的專業證書。過去，他在歐洲、加拿大、中東、中亞和澳大利亞擔任過永久和訪問大學教授職位。他還曾擔任幾所大學的系主任和項目負責人。他在Scopus上發表了150多篇論文，其中大部分發表在從工程到商業的期刊上。
Adam Riccoboni是一位人工智能企業家、作家，也是Critical Future的首席執行官，該公司是一家技術和策略咨詢公司，受到世界上一些最大品牌的信任，在開拓人工智能發展方面具有豐富的經驗。他是一位屢獲殊榮的企業家，創立了高增長的企業，並在《金融時報》、ESPN、BBC、USA Today等媒體上有報導。他還是英國ESCP商學院人工智能客座講師。
Manuel Ruiz Galán於1999年從西班牙格拉納達大學獲得博士學位。他是西班牙格拉納達大學數學系的全職教授，擁有50多篇研究論文和專書章節。Galán博士曾是幾個國家基金（西班牙政府）項目的成員和首席研究員，專注於凸分析和數值分析及其應用。他曾擔任《優化和工程》、《數學問題工程》和《函數空間和應用》等期刊的特刊編輯，並擔任《Minimax Inequalities and its Applications》出版物的編輯委員會成員。
