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Blockchain, Big Data and Machine Learning | Trends and Applications | Neeraj Kumar (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | CRC Press | EAN 9780367371685 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 120755310
Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well. Aimed at Senior undergraduate students, researchers and professionals in computer science and engineering and electrical engineering, this book:
Converges Blockchain, Big Data and Machine learning in one volume.
Connects Blockchain technologies with the data centric applications such Big data and E-Health.
Easy to understand examples on how to create your own blockchain supported by case studies of blockchain in different industries.
Covers big data analytics examples using R.
Includes lllustrative examples in python for blockchain creation.
Über die Autorin bzw. den Autor: Neeraj Kumar, N. Gayathri, Md Arafatur Rahman, B. Balamurugan
Titel: Blockchain, Big Data and Machine Learning | ...
Verlag: CRC Press
Erscheinungsdatum: 2022
Einband: Taschenbuch
Zustand: Neu
Anbieter: moluna, Greven, Deutschland
Kartoniert / Broschiert. Zustand: New. Artikel-Nr. 523129187
Anzahl: Mehr als 20 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Artikel-Nr. 391829477
Anzahl: 3 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 360 pages. 9.21x6.14x0.91 inches. In Stock. Artikel-Nr. x-0367371685
Anzahl: 2 verfügbar