Linear Algebra with Machine Learning and Data
暫譯: 機器學習與數據的線性代數
Arangala, Crista
- 出版商: CRC
- 出版日期: 2023-05-09
- 售價: $3,630
- 貴賓價: 9.5 折 $3,449
- 語言: 英文
- 頁數: 290
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 036745839X
- ISBN-13: 9780367458393
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相關分類:
Machine Learning、線性代數 Linear-algebra
海外代購書籍(需單獨結帳)
商品描述
This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study approach where each case will be grounded in a real-world application.
This text is meant to be used for a second course in applications of Linear Algebra to Data Analytics, with a supplemental chapter on Decision Trees and their applications in regression analysis. The text can be considered in two different but overlapping general data analytics categories: clustering and interpolation.
Knowledge of mathematical techniques related to data analytics and exposure to interpretation of results within a data analytics context are particularly valuable for students studying undergraduate mathematics. Each chapter of this text takes the reader through several relevant case studies using real-world data.
All data sets, as well as Python and R syntax, are provided to the reader through links to Github documentation. Following each chapter is a short exercise set in which students are encouraged to use technology to apply their expanding knowledge of linear algebra as it is applied to data analytics.
A basic knowledge of the concepts in a first Linear Algebra course is assumed; however, an overview of key concepts is presented in the Introduction and as needed throughout the text.
商品描述(中文翻譯)
這本書深入探討幾個關鍵的線性代數主題，並將其應用於數據分析和數據挖掘。書中採用案例研究的方法，每個案例都基於真實世界的應用。
本書旨在用作第二門線性代數應用於數據分析的課程，並附有一章關於決策樹及其在回歸分析中的應用。本書可以被視為涵蓋兩個不同但重疊的一般數據分析類別：聚類和插值。
對於學習本科數學的學生來說，了解與數據分析相關的數學技術以及在數據分析背景下解釋結果的能力特別重要。本書的每一章都帶領讀者通過幾個相關的案例研究，使用真實世界的數據。
所有數據集以及 Python 和 R 語法都通過鏈接到 Github 文檔提供給讀者。在每一章之後都有一組簡短的練習，鼓勵學生利用技術來應用他們對線性代數的擴展知識，並將其應用於數據分析。
本書假設讀者具備第一門線性代數課程的基本概念知識；然而，導言中以及全書中根據需要提供了關鍵概念的概述。
作者簡介
Dr. Crista Arangala is Professor of Mathematics and Chair of the Department of Mathematics and Statistics at Elon University in North Carolina. She has been teaching and researching in a variety of fields including inverse problems, applied partial differential equations, applied linear algebra, mathematical modeling and service learning education. She runs a traveling science museum with her Elon University students in Kerala, India. Dr. Arangala was chosen to be a Fulbright Scholar in 2014 as a visiting lecturer at the University of Colombo where she continued her projects in inquiry learning in Linear Algebra and began working with a modeling team focusing on Dengue fever research. Dr. Arangala has published several textbooks that implore inquiry learning techniques including Exploring Linear Algebra: Labs and Projects with MATLAB(R) and Mathematical Modeling: Branching Beyond Calculus.
作者簡介(中文翻譯)
克里斯塔·阿朗加拉博士是北卡羅來納州伊隆大學數學系的數學教授及系主任。她在多個領域進行教學和研究，包括反問題、應用偏微分方程、應用線性代數、數學建模和服務學習教育。她與伊隆大學的學生在印度喀拉拉州運營一個流動科學博物館。阿朗加拉博士於2014年被選為富布賴特學者，擔任科倫坡大學的訪問講師，繼續她在線性代數的探究學習項目，並開始與一個專注於登革熱研究的建模團隊合作。阿朗加拉博士出版了幾本探討探究學習技術的教科書，包括《探索線性代數：使用MATLAB(R)的實驗和項目》和《數學建模：超越微積分的分支》。
