Introduction to Machine Learning Algorithms: Basic Principles and Mathematics
暫譯: 機器學習演算法入門：基本原則與數學
Khanna, Vinod Kumar
- 出版商: CRC
- 出版日期: 2026-04-09
- 售價: $7,990
- 貴賓價: 9.8 折 $7,830
- 語言: 英文
- 頁數: 400
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032725915
- ISBN-13: 9781032725918
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
Mathematics is the foundation of machine learning algorithms. To understand the shortcomings of existing algorithms and develop more effective methods, it is essential to understand the mathematical concepts underlying these algorithms and their operational principles. This book serves as an introductory resource, outlining the preliminary concepts and offering insights into the mathematical foundations and operational mechanisms of machine learning algorithms. It describes the basic equations and interrelates the questions arising during practical applications of machine learning with the basic mathematical picture of the algorithms used.
Features
- Introduces machine learning, highlights the central role of algorithms in machine learning, and explains the core mathematical prerequisites to understanding machine learning algorithms
- Systematically examines the sequential steps of classical machine learning algorithms used for classification of data sets into distinct groups; regression, clustering analysis,
- Provides an overview of value, policy, and model-based reinforcement learning algorithms.
This book is for academicians, scholars, students, and professionals engaged in the study of machine learning and artificial intelligence.
商品描述(中文翻譯)
數學是機器學習演算法的基礎。要理解現有演算法的缺陷並開發更有效的方法，了解這些演算法背後的數學概念及其運作原理是至關重要的。本書作為一本入門資源，概述了初步概念，並提供了機器學習演算法的數學基礎和運作機制的見解。它描述了基本方程式，並將在機器學習實際應用中出現的問題與所使用演算法的基本數學圖景相互關聯。
**特色**
- 介紹機器學習，強調演算法在機器學習中的核心角色，並解釋理解機器學習演算法所需的核心數學前提
- 系統性地檢視用於將數據集分類為不同群組的經典機器學習演算法的順序步驟；回歸、聚類分析
- 提供基於價值、政策和模型的強化學習演算法的概述
本書適合從事機器學習和人工智慧研究的學者、學生及專業人士。
作者簡介
Vinod Kumar Khanna, Ph.D. (Physics) is an emeritus scientist, Council of Scientific and Industrial Research (CSIR), India, and Emeritus Professor, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India; a retired chief scientist, CSIR-Central Electronics Engineering Research Institute, Pilani, India and professor, AcSIR, India. He has worked for more than 37 years on the design, fabrication, and characterization of power semiconductor devices, MEMS, and nanotechnology-based sensors. He has published 194 research papers in refereed journals and conference proceedings, 23 books, and six chapters in edited books. He has five patents to his credit, including two US and three Indian patents.
作者簡介(中文翻譯)
Vinod Kumar Khanna，物理學博士（Ph.D.），是印度科學與工業研究委員會（CSIR）名譽科學家，以及印度加濟阿巴德科學與創新研究院（AcSIR）名譽教授；曾任印度皮拉尼CSIR中央電子工程研究所的首席科學家及AcSIR教授。他在功率半導體器件、微機電系統（MEMS）和基於納米技術的傳感器的設計、製造和特性化方面工作了超過37年。他在同行評審的期刊和會議論文集中發表了194篇研究論文，出版了23本書籍，以及六章編輯書籍中的章節。他擁有五項專利，包括兩項美國專利和三項印度專利。
