Guide to Industrial Analytics: Solving Data Science Problems for Manufacturing and the Internet of Things
暫譯: 工業分析指南：解決製造業與物聯網的數據科學問題
Hill, Richard, Berry, Stuart
- 出版商: Springer
- 出版日期: 2021-09-28
- 售價: $3,560
- 貴賓價: 9.5 折 $3,382
- 語言: 英文
- 頁數: 274
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030791033
- ISBN-13: 9783030791032
-
相關分類:
物聯網 IoT、Data Science
海外代購書籍(需單獨結帳)
商品描述
This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and storage, through Industrial Digital of Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data.
Data science, predictive analytics, machine learning, artificial intelligence and general approaches to modelling, simulating and visualising industrial systems have often been considered topics only for research labs and academic departments.
This textbook debunks the mystique around applied data science and shows readers, using tutorial-style explanations and real-life case studies, how practitioners can develop their own understanding of performance to achieve tangible business improvements. All exercises can be completed with commonly available tools, many of which are free to install and use.
Readers will learn how to use tools to investigate, diagnose, propose and implement analytics solutions that will provide explainable results to deliver digital transformation.
商品描述(中文翻譯)
這本教科書描述了數據科學技術在製造業和工業物聯網（IIoT）中解決問題的實際應用。監控和管理運營績效是工業和商業組織的一項關鍵活動。隨著工業數字技術（IDT）和工業4.0的出現，低成本、可獲得的計算和存儲技術引起了人們對利用數據進行創新方法的極大興趣。
數據科學、預測分析、機器學習、人工智慧以及對工業系統進行建模、模擬和可視化的一般方法，通常被認為是僅限於研究實驗室和學術部門的主題。
這本教科書揭開了應用數據科學的神秘面紗，並通過教程式的解釋和真實案例研究，向讀者展示從業者如何發展對績效的理解，以實現可見的商業改進。所有練習都可以使用常見的工具完成，其中許多工具是免費安裝和使用的。
讀者將學會如何使用工具來調查、診斷、提出和實施分析解決方案，這些解決方案將提供可解釋的結果，以實現數字轉型。
作者簡介
Dr. Richard Hill is Professor of Intelligent Systems, Head of the Department of Computer Science, and the Director of the Centre for Industrial Analytics at the University of Huddersfield, UK. His other publications include the Springer titles Guide to Vulnerability Analysis for Computer Networks and Systems, Guide to Security in SDN and NFV, Guide to Security Assurance for Cloud Computing, Big-Data Analytics and Cloud Computing, Guide to Cloud Computing, and Cloud Computing for Enterprise Architectures.
Dr. Stuart Berry is Emeritus Fellow in the Department of Computing and Mathematics at the University of Derby, UK. His other publications include the Springer title Guide to Computational Modelling for Decision Processes.
作者簡介(中文翻譯)
理查德·希爾博士是英國哈德斯菲爾德大學智能系統教授、計算機科學系主任以及工業分析中心主任。他的其他出版物包括Springer的書籍《計算機網絡和系統漏洞分析指南》、《SDN和NFV安全指南》、《雲計算安全保障指南》、《大數據分析與雲計算》、《雲計算指南》和《企業架構的雲計算》。
斯圖爾特·貝瑞博士是英國德比大學計算與數學系的名譽研究員。他的其他出版物包括Springer的書籍《決策過程的計算建模指南》。
