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Blockchain, Big Data and Machine Learning: Trends and Applications

Description: 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.

Price: 189 AUD

Location: Hillsdale, NSW

End Time: 2025-01-06T00:29:26.000Z

Shipping Cost: 24.85 AUD

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Blockchain, Big Data and Machine Learning: Trends and ApplicationsBlockchain, Big Data and Machine Learning: Trends and Applications

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Return shipping will be paid by: Buyer

Returns Accepted: Returns Accepted

Item must be returned within: 30 Days

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EAN: 9780367370688

UPC: 9780367370688

ISBN: 9780367370688

MPN: N/A

Book Title: Blockchain, Big Data and Machine Learning: Trends

Item Length: 23.4 cm

Number of Pages: 346 Pages

Publication Name: Blockchain, Big Data and Machine Learning: Trends and Applications

Language: English

Publisher: Taylor & Francis Ltd

Item Height: 234 mm

Subject: Engineering & Technology, Computer Science

Publication Year: 2020

Type: Textbook

Item Weight: 635 g

Subject Area: Mechanical Engineering

Author: N. Gayathri, Md Arafatur Rahman, B. Balamurugan, Neeraj Kumar

Item Width: 156 mm

Format: Hardcover

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