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Book synopsis

The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed over the last few years. It is increasingly helping uncover trends leading to great successes. This book includes a collection of research manuscripts presenting state-of-the-art work in the areas of deep learning, blockchain and big data. All the manuscripts included in this book have been peer-reviewed based on aspects of novelty, originality and rigour. The main topics covered in the book include machine learning and time series, blockchain technologies and applications, data security, deep learning, and Internet of Things.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Technik Maschinenbau, Fertigungstechnik

• Full title: International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)
• Author: Markus Aleksy, Muhammad Younas, Salima Benbernou
• Language: English
• Binding: Paperback
• Number of pages: 175
• EAN: 9783030843366
• ISBN: 303084336X
• ID: 36968668
• Publisher: Springer Nature Switzerland AG
• Weight: 296 g
• Dimensions: 235 × 155 × 11 mm
• Date of publishing: 08. August 2021

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