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The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean.
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The book arose based on the most interesting papers from this area published at IDAACS?2013 conference. However, the indivudual chapters include not only designed solution in wider context but also relevant theoretical parts, achieved results and possible future ways.
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Bemærk: Kan ikke garanteres før jul. Se dato på varen.
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The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory for reliability engineering. It further presents optimization solutions for smart and secure healthcare services.
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Business analytics is about leveraging data analysis and analytical modeling methods to achieve business objectives. Suitable for senior... Læs mere
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This textbook helps students and educators prepare for the future by studying and teaching in the cloud and learning how to use modern cloud computing... Læs mere
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This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems.
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This book aims to discuss the convergence of three powerful technologies which play into the digital revolution and blurs the lines between biological, digital, and physical objects.
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The GUHA is a method of mechanizing hypothesis formation. The input of the GUHA procedure consists of analysed data and several parameters... Læs mere
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Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed.