An Introduction to Optimization with Applications in Machine Learning and Data Analytics
暫譯: 優化入門：在機器學習與數據分析中的應用
Wheeler, Jeffrey Paul
- 出版商: CRC
- 出版日期: 2023-12-07
- 售價: $4,220
- 貴賓價: 9.5 折 $4,009
- 語言: 英文
- 頁數: 453
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367425505
- ISBN-13: 9780367425500
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相關分類:
Machine Learning、Data Science
海外代購書籍(需單獨結帳)
商品描述
The primary goal of this text is a practical one. Equipping students with enough knowledge and creating an independent research platform, the author strives to prepare students for professional careers. Providing students with a marketable skill set requires topics from many areas of optimization. The initial goal of this text is to develop a marketable skill set for mathematics majors as well as for students of engineering, computer science, economics, statistics, and business. Optimization reaches into many different fields.
This text provides a balance where one is needed. Mathematics optimization books are often too heavy on theory without enough applications; texts aimed at business students are often strong on applications, but weak on math. The book represents an attempt at overcoming this imbalance for all students taking such a course.
The book contains many practical applications but also explains the mathematics behind the techniques, including stating definitions and proving theorems. Optimization techniques are at the heart of the first spam filters, are used in self-driving cars, play a great role in machine learning, and can be used in such places as determining a batting order in a Major League Baseball game. Additionally, optimization has seemingly limitless other applications in business and industry. In short, knowledge of this subject offers an individual both a very marketable skill set for a wealth of jobs as well as useful tools for research in many academic disciplines.
Many of the problems rely on using a computer. Microsoft's Excel is most often used, as this is common in business, but Python and other languages are considered. The consideration of other programming languages permits experienced mathematics and engineering students to use MATLAB(R) or Mathematica, and the computer science students to write their own programs in Java or Python.
商品描述(中文翻譯)
這本書的主要目標是實用的。作者致力於為學生提供足夠的知識並創建一個獨立的研究平台，以準備學生進入專業職業。為學生提供可市場化的技能組合需要涵蓋許多優化領域的主題。這本書的初步目標是為數學專業以及工程、計算機科學、經濟學、統計學和商業的學生發展可市場化的技能組合。優化涉及許多不同的領域。
這本書在需要的地方提供了一個平衡。數學優化書籍通常過於偏重理論而缺乏足夠的應用；針對商業學生的書籍則通常在應用方面強，但在數學方面較弱。這本書試圖克服這種不平衡，適用於所有修讀此類課程的學生。
這本書包含許多實用的應用，同時也解釋了技術背後的數學，包括定義的陳述和定理的證明。優化技術是第一代垃圾郵件過濾器的核心，應用於自駕車，對機器學習起著重要作用，並可用於例如確定美國職棒大聯盟比賽中的打擊順序。此外，優化在商業和工業中似乎有無限的其他應用。簡而言之，對這一主題的知識為個人提供了非常可市場化的技能組合，適用於各種工作，並且為許多學術學科的研究提供了有用的工具。
許多問題依賴於使用計算機。微軟的 Excel 最常被使用，因為這在商業中很常見，但也考慮了 Python 和其他語言。考慮其他編程語言使得有經驗的數學和工程學生能夠使用 MATLAB(R) 或 Mathematica，而計算機科學學生則可以用 Java 或 Python 編寫自己的程序。
作者簡介
Jeffrey Paul Wheeler earned his PhD in Combinatorial Number Theory from the University of Memphis by extending what had been a conjecture of Erdős on the integers to finite groups. He has published, given talks at numerous schools, and twice been a guest of Trinity College at the University of Cambridge. He has taught mathematics at Miami University (Ohio), the University of Tennessee-Knoxville, the University of Memphis, Rhodes College, the University of Pittsburgh, Carnegie Mellon University, and Duquesne University. He has received numerous teaching awards and is currently in the Department of Mathematics at the University of Pittsburgh. He also occasionally teaches for Pitt's Computer Science Department and the College of Business Administration. Dr. Wheeler's Optimization course was one of the original thirty to participate in the Mathematical Association of America's NSF-funded PIC Math program.
作者簡介(中文翻譯)
杰佛瑞·保羅·惠勒（Jeffrey Paul Wheeler）在孟菲斯大學（University of Memphis）獲得了組合數論（Combinatorial Number Theory）博士學位，研究主題是將厄爾德什（Erdős）對整數的猜想擴展到有限群（finite groups）。他發表了多篇論文，並在多所學校進行演講，兩次受邀於劍橋大學（University of Cambridge）的三一學院（Trinity College）。他曾在邁阿密大學（Miami University, Ohio）、田納西大學-諾克斯維爾（University of Tennessee-Knoxville）、孟菲斯大學（University of Memphis）、羅德斯學院（Rhodes College）、匹茲堡大學（University of Pittsburgh）、卡內基梅隆大學（Carnegie Mellon University）和杜肯大學（Duquesne University）教授數學。他獲得了多項教學獎項，目前在匹茲堡大學的數學系任教。他偶爾也會為匹茲堡大學的計算機科學系（Computer Science Department）和商學院（College of Business Administration）授課。惠勒博士的優化課程（Optimization course）是參加美國數學協會（Mathematical Association of America）由國家科學基金會（NSF）資助的PIC Math計劃的最初三十門課程之一。
