Machine Learning in Data Processing
暫譯: 數據處理中的機器學習

Wang, Xiang-Sheng, Wang, Chisheng

Machine Learning in Data Processing
  • 出版商: Springer
  • 出版日期: 2026-05-20
  • 售價: $2,670
  • 貴賓價: 9.5 折 $2,536
  • 語言: 英文
  • 頁數: 119
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032208548
  • ISBN-13: 9783032208545
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

商品描述

Machine learning has become a cornerstone of modern data-driven science and technology. For mathematics students and researchers, understanding the mathematical foundations behind machine learning is essential, even if they never work directly with real-world datasets.

This book provides a rigorous yet accessible introduction to the core mathematical ideas that underpin machine learning. Topics such as linear and nonlinear regression, regularization techniques, and the fundamentals of neural networks are explained in detail from a clear mathematical perspective.

Unlike many existing texts that emphasize coding and practical implementation, this book focuses on theoretical results and conceptual understanding. It is designed for readers who want to grasp the mathematics behind machine learning without writing code.

Who should read this book?

    Mathematics students and researchers interested in machine learning but with little programming experience. Scientists and engineers who have applied machine learning in practice and now seek a deeper understanding of its mathematical foundations.

商品描述(中文翻譯)

機器學習已成為現代數據驅動科學和技術的基石。對於數學學生和研究人員來說，理解機器學習背後的數學基礎是必不可少的，即使他們從未直接處理過現實世界的數據集。

本書提供了一個嚴謹但易於理解的機器學習核心數學概念的介紹。線性和非線性回歸、正則化技術以及神經網絡的基本原理等主題，從清晰的數學角度進行詳細解釋。

與許多強調編碼和實際實施的現有文本不同，本書專注於理論結果和概念理解。它旨在幫助希望掌握機器學習背後數學的讀者，而不需要編寫代碼。

誰應該閱讀本書？
- 對機器學習感興趣但編程經驗不多的數學學生和研究人員。
- 已在實踐中應用機器學習的科學家和工程師，現在希望更深入地理解其數學基礎。

作者簡介

Dr. Xiang-Sheng Wang earned his Ph.D. in Mathematics in 2009 from City University of Hong Kong, in a program jointly awarded by the University of Science and Technology of China. He is currently an Associate Professor in the Department of Mathematics at the University of Louisiana at Lafayette. His research focuses on asymptotic analysis, computational mathematics, and mathematical biology. Dr. Wang has extensive teaching experience across both undergraduate and graduate levels, offering courses such as Numerical Analysis, Machine Learning for Beginners, Numerical Methods, Differential Equations, and Advanced Mathematics for Engineers and Scientists.

Dr. Chisheng Wang received the B.S. degree from Beijing Normal University, Beijing, China, the M.S. degree from the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, and the Ph.D. degree from the Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong. He is currently a Professor in the Department of Urban Informatics, School of Architecture & Urban Planning, Shenzhen University, Shenzhen, Guangdong, China. His research interests include image processing and remote sensing applications.

作者簡介(中文翻譯)

王向生博士於2009年在香港城市大學獲得數學博士學位，該學位由中國科學技術大學共同頒發。他目前是路易斯安那州立大學拉法葉校區數學系的副教授。他的研究專注於漸近分析、計算數學和數學生物學。王博士在本科和研究生階段擁有豐富的教學經驗，教授的課程包括數值分析、初學者機器學習、數值方法、微分方程以及工程師和科學家的高等數學。

王志生博士在中國北京師範大學獲得學士學位，在中國科學院遙感應用研究所獲得碩士學位，並在香港理工大學土地測量及地理資訊系獲得博士學位。他目前是深圳大學建築與城市規劃學院城市資訊系的教授。他的研究興趣包括影像處理和遙感應用。

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