Machine Learning and Metaheuristic Computation
Cuevas, Erik, Galvez, Jorge, Avalos, Omar
- 出版商: Wiley
- 出版日期: 2024-11-27
- 售價: $4,710
- 貴賓價: 9.5 折 $4,475
- 語言: 英文
- 頁數: 432
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 139422964X
- ISBN-13: 9781394229642
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相關分類:
Machine Learning
尚未上市，無法訂購
相關主題
商品描述
Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approaches
Few areas of technology have greater potential to revolutionize the globe than artificial intelligence. Two key areas of artificial intelligence, machine learning and metaheuristic computation, have an enormous range of individual and combined applications in computer science and technology. To date, these two complementary paradigms have not always been treated together, despite the potential of a combined approach which maximizes the utility and minimizes the drawbacks of both.
Machine Learning and Metaheuristic Computation offers an introduction to both of these approaches and their joint applications. Both a reference text and a course, it is built around the popular Python programming language to maximize utility. It guides the reader gradually from an initial understanding of these crucial methods to an advanced understanding of cutting-edge artificial intelligence tools.
The text also provides:
- Treatment suitable for readers with only basic mathematical training
- Detailed discussion of topics including dimensionality reduction, clustering methods, differential evolution, and more
- A rigorous but accessible vision of machine learning algorithms and the most popular approaches of metaheuristic optimization
Machine Learning and Metaheuristic Computation is ideal for students, researchers, and professionals looking to combine these vital methods to solve problems in optimization approaches.
商品描述(中文翻譯)
學習如何橋接機器學習與元啟發式方法之間的差距，以解決優化方法中的問題
在科技領域中，沒有哪個領域比人工智慧更具潛力來徹底改變全球。人工智慧的兩個關鍵領域，機器學習和元啟發式計算，在計算機科學和技術中擁有廣泛的個別及結合應用。迄今為止，儘管結合這兩者的潛力可以最大化其效用並最小化各自的缺點，但這兩種互補的範式並不總是一起被對待。
《機器學習與元啟發式計算》提供了這兩種方法及其聯合應用的介紹。這本書既是參考文本也是課程，圍繞著流行的Python程式語言構建，以最大化效用。它逐步引導讀者從對這些關鍵方法的初步理解，進入對尖端人工智慧工具的深入理解。
本書還提供：
- 適合只有基本數學訓練的讀者的內容
- 包括降維、聚類方法、差分演化等主題的詳細討論
- 對機器學習算法和最受歡迎的元啟發式優化方法的嚴謹但易於理解的視角
《機器學習與元啟發式計算》非常適合希望結合這些重要方法以解決優化方法中問題的學生、研究人員和專業人士。
作者簡介
Erik Cuevas, PhD, is a Full Professor in the Department of Electronics at the University of Guadalajara. He is a Member of the Mexican Academy of Sciences and the National System of Researchers. He has provided editorial services on several specialized journals.
Jorge Galvez, PhD, is a Full Professor in the Department in the Department of Innovation Based on Information and Knowledge at the University of Guadalajara. He is a Member of the Mexican Academy of Sciences and the National System of Researchers.
Omar Avalos, PhD, is a Professor in the Electronics and Computing Division of the University Center for Exact Sciences and Engineering at the University of Guadalajara. He is a Member of the Mexican Academy of Sciences and the National System of Researchers.
Fernando Wario, PhD, is a Professor at the University of Guadalajara and an Associate Researcher at the Institute of Cognitive Sciences and Technologies (ISTC) in Rome, Italy. He is a Member of the Mexican Academy of Sciences and the National System of Researchers.
作者簡介(中文翻譯)
Erik Cuevas, PhD，是瓜達拉哈拉大學電子系的正教授。他是墨西哥科學院及國家研究系統的成員。他曾在多本專業期刊提供編輯服務。
Jorge Galvez, PhD，是瓜達拉哈拉大學資訊與知識創新系的正教授。他是墨西哥科學院及國家研究系統的成員。
Omar Avalos, PhD，是瓜達拉哈拉大學精確科學與工程大學中心電子與計算部的教授。他是墨西哥科學院及國家研究系統的成員。
Fernando Wario, PhD，是瓜達拉哈拉大學的教授，同時也是位於義大利羅馬的認知科學與技術研究所（ISTC）的副研究員。他是墨西哥科學院及國家研究系統的成員。
