Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks

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Release : 2023
Genre : Blockchains (Databases)
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Book Rating : 210/5 ( reviews)

Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks write by Nilayam Kumar Kamila. This book was released on 2023. Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks available in PDF, EPUB and Kindle.

Big-Data Analytics for Cloud, IoT and Cognitive Computing

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Release : 2017-08-14
Genre : Computers
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Book Rating : 020/5 ( reviews)

Big-Data Analytics for Cloud, IoT and Cognitive Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big-Data Analytics for Cloud, IoT and Cognitive Computing write by Kai Hwang. This book was released on 2017-08-14. Big-Data Analytics for Cloud, IoT and Cognitive Computing available in PDF, EPUB and Kindle. The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

Integration of Cloud Computing with Internet of Things

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Release : 2021-03-08
Genre : Computers
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Book Rating : 302/5 ( reviews)

Integration of Cloud Computing with Internet of Things - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Integration of Cloud Computing with Internet of Things write by Monika Mangla. This book was released on 2021-03-08. Integration of Cloud Computing with Internet of Things available in PDF, EPUB and Kindle. The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics. Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.

Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics

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Release : 2021-11-05
Genre : Computers
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Book Rating : 871/5 ( reviews)

Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics write by Taser, Pelin Yildirim. This book was released on 2021-11-05. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics available in PDF, EPUB and Kindle. The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

Big Data, Cloud Computing and IoT

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Release : 2023-04-19
Genre : Computers
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Book Rating : 372/5 ( reviews)

Big Data, Cloud Computing and IoT - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data, Cloud Computing and IoT write by Sita Rani. This book was released on 2023-04-19. Big Data, Cloud Computing and IoT available in PDF, EPUB and Kindle. Cloud computing, the Internet of Things (IoT), and big data are three significant technological trends affecting the world's largest corporations. This book discusses big data, cloud computing, and the IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications pertinent to these disciplines. Also, big data, cloud computing, and the IoT are proposed as possible study avenues. Features: Informs about cloud computing, IoT and big data, including theoretical foundations and the most recent empirical findings Provides essential research on the relationship between various technologies and the aggregate influence they have on solving real-world problems Ideal for academicians, developers, researchers, computer scientists, practitioners, information technology professionals, students, scholars, and engineers exploring research on the incorporation of technological innovations to address contemporary societal challenges