Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications
暫譯: 工程數學與人工智慧：基礎、方法與應用
Kunze, Herb, La Torre, Davide, Riccoboni, Adam
相關主題
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) 的領域在近年來迅速成長，成功應用的範疇也越來越廣泛。本書是任何對數學與 AI/ML 交集感興趣的人的重要參考資料，並提供當前研究方向的概述。
《工程數學與人工智慧：基礎、方法與應用》討論了機器學習背後的理論，並展示了數學如何應用於人工智慧。這本書說明了如何利用高級數學來改進現有的演算法，並提供尖端的 AI 技術。本書接著討論了機器學習如何支持數學建模，以及如何利用人工神經網路來模擬數據。書中還強調了機器學習與複雜數學技術之間未來的整合。
本書是為研究人員、實務工作者、工程師和 AI 顧問所撰寫。
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 是加拿大安大略省圭爾夫大學的數學教授。他於1997年在滑鐵盧大學獲得應用數學博士學位。在他的職業生涯中，他一直獲得自然科學與工程研究委員會（NSERC）的研究資助。他的研究興趣包括基於分形的分析方法，涵蓋各種直接和反向問題；神經網絡和人工智慧；數學成像；以及微分方程的定性特性。他的工作結合了嚴謹的理論元素與應用驅動的考量。他擁有超過100篇研究出版物，通常發表在高影響力的同行評審期刊上。
Davide La Torre 是一位應用數學家、研究人員和大學教授。目前，他擔任SKEMA人工智慧研究所的全職教授和所長。他也是（Programme Grande Ecole）金融與量化專業的負責人。他的研究和教學興趣包括商業的人工智慧和機器學習、商業與工業分析、經濟動態、數學與統計建模、運營管理、運營研究和投資組合管理。他擁有米蘭大學的應用與工業數學碩士學位（1997年，優等）和計算數學及運營研究博士學位（2002年），以及蔚藍海岸大學的應用數學HDR（2021年）。他還擁有麻省理工學院的專業證書，涵蓋大數據與分析（2017年）、機器學習和量子計算（2021年）。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教授職位。他還在幾所大學擔任過系主任和項目負責人。他在Scopus上發表了超過150篇出版物，大多數發表在從工程到商業的期刊上。
Adam Riccoboni 是一位人工智慧企業家、作家，以及Critical Future的首席執行官，這是一家技術與策略顧問公司，受到一些全球最大品牌的信任，並在開創人工智慧發展方面有著良好的記錄。他是一位獲獎的企業家，創辦了多家快速成長的企業，曾在《金融時報》、《ESPN》、《BBC》和《今日美國》等媒體上報導。他還是英國商學院ESCP的人工智慧客座講師。
Manuel Ruiz Galán 於1999年在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，擁有超過50篇研究論文和書籍章節的發表。Galán博士曾是多個國家資助（西班牙政府）項目的成員和主要研究者，特別是在凸分析和數值分析及其應用方面的主題上。他曾擔任期刊《優化與工程》、《工程中的數學問題》和《函數空間與應用期刊》的一些特刊的客座編輯。此外，他還是出版物《Minimax不等式及其應用》的編輯委員會成員。
