{"product_id":"9783030767969","title":"Learning and Analytics in Intelligent Systems: Selected Papers in Honour of Professor Nikolaos G. Bourbakis – Vol. 2","description":"\u003ch1\u003eLearning and Analytics in Intelligent Systems: Selected Papers in Honour of Professor Nikolaos G. Bourbakis – Vol. 2\u003c\/h1\u003e \u003ch2\u003eTsihrintzis, George A.; Virvou, Maria; Jain, Lakhmi C.\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eAs the 4th Industrial Revolution is restructuring human societal organization into, so-called, “\u003ci\u003eSociety 5.0\u003c\/i\u003e”, the field of \u003cb\u003eMachine Learning\u003c\/b\u003e (and its sub-field of \u003cb\u003eDeep Learning\u003c\/b\u003e) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning\/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning\/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society.\u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cp\u003eThe book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning\/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) \u003ci\u003eMachine Learning\/Deep Learning in Socializing and Entertainment\u003c\/i\u003e, (ii) \u003ci\u003eMachine Learning\/Deep Learning in Education\u003c\/i\u003e, (iii) \u003ci\u003eMachine Learning\/Deep Learning in Security\u003c\/i\u003e, (iv)\u003ci\u003e Machine Learning\/Deep Learning in Time Series Forecasting\u003c\/i\u003e, and (v)\u003ci\u003e Machine Learning in Video Coding and Information Extraction\u003c\/i\u003e\u003ci\u003e.\u003c\/i\u003e\u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cp\u003eThis research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning\/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of themost recent Machine Learning\/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.\u003c\/p\u003e\u003cbr\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2022-08-08\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783030767969\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-030-76794-5\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 224\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":46919790723212,"sku":"9783030767969","price":179.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783030767969.jpg?v=1774534369","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783030767969","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}