{"product_id":"guide-to-industrial-analytics-solving-data-science-problems-for-manufacturing-and-the-internet-of-things-paperback","title":"Guide to Industrial Analytics: Solving Data Science Problems for Manufacturing and the Internet of Things - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRichard Hill\u003c\/b\u003e (Author), \u003cb\u003eStuart Berry\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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 Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data.\u003c\/p\u003e \u003cp\u003eData 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.\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003eReaders will learn how to use tools to investigate, diagnose, propose and implement analytics solutions that will provide explainable results to deliver digital transformation.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eMonitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low cost, accessible computing and storage through the Industrial Internet of Things (IIoT) has generated considerable interest in innovative approaches to doing more with data.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eData Science, predictive analytics, machine learning, artificial intelligence and the more general approaches to modelling, simulating and visualizing industrial systems have often been considered topics only for research labs and academic departments. This book 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. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDescribes hands-on application of data-science techniques to solve problems in manufacturing and the IIoT\u003c\/li\u003e\n\u003cli\u003ePresents relevant case study examples that make use of commonly available (and often free) software to solve real-world problems\u003c\/li\u003e\n\u003cli\u003eEnables readers to rapidly acquire a practical understanding of essential modelling and analytics skills for system-oriented problem solving\u003c\/li\u003e\n\u003cli\u003eIncludes a schedule to organize content for semester-based university delivery, and end-of-chapter exercises to reinforce learning\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003eThis unique textbook\/guide outlines\u003ci\u003e how to \u003c\/i\u003euse tools to investigate, diagnose, propose and implement analytics solutions that will provide the evidence for business cases, or to deliver explainable results that demonstrate positive impact within an organisation. It will be invaluable to students, applications developers, researchers, technical consultants, and industrial managers and supervisors.\u003cp\u003e\u003cb\u003eDr. Richard Hill\u003c\/b\u003e is a professor of Intelligent Systems, head of the Department of Computer Science, and director of the Centre for Industrial Analytics at the University of Huddersfield, UK. His other Springer titles include \u003ci\u003eGuide to Vulnerability Analysis for Computer Networks and Systems\u003c\/i\u003e and \u003ci\u003eBig-Data Analytics and Cloud Computing\u003c\/i\u003e. \u003cb\u003eDr. Stuart Berry\u003c\/b\u003e is Emeritus Fellow in the Department of Computing and Mathematics at the University of Derby, UK. He is a co-editor of the Springer title, \u003ci\u003eGuide to Computational Modelling for Decision Processes\u003c\/i\u003e.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Richard Hill\u003c\/b\u003e 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 \u003ci\u003eGuide to Vulnerability Analysis for Computer Networks and Systems\u003c\/i\u003e, \u003ci\u003eGuide to Security in SDN and NFV\u003c\/i\u003e, \u003ci\u003eGuide to Security Assurance for Cloud Computing\u003c\/i\u003e, \u003ci\u003eBig-Data Analytics and Cloud Computing\u003c\/i\u003e, \u003ci\u003eGuide to Cloud Computing\u003c\/i\u003e, and \u003ci\u003eCloud Computing for Enterprise Architectures\u003c\/i\u003e.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Stuart Berry\u003c\/b\u003e is Emeritus Fellow in the Department of Computing and Mathematics at the University of Derby, UK. His other publications include the Springer title \u003ci\u003eGuide to Computational Modelling for Decision Processes\u003c\/i\u003e.\u003c\/p\u003e\u003cbr\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 275\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.63 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 29, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52492177932595,"sku":"9783030791063","price":104.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/UXhaczBTdTI4Z2t6M2prNnJwNW9Idz09.webp?v=1759928445","url":"https:\/\/www.vysn.com\/products\/guide-to-industrial-analytics-solving-data-science-problems-for-manufacturing-and-the-internet-of-things-paperback","provider":"VYSN","version":"1.0","type":"link"}