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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Big Data, IoT, and Machine Learning - Tools and Applications (Hardcover) Loot Price: R4,359
Discovery Miles 43 590
Big Data, IoT, and Machine Learning - Tools and Applications (Hardcover): Rashmi Agrawal, Marcin Paprzycki, Neha Gupta

Big Data, IoT, and Machine Learning - Tools and Applications (Hardcover)

Rashmi Agrawal, Marcin Paprzycki, Neha Gupta

Series: Internet of Everything IoE

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Loot Price R4,359 Discovery Miles 43 590 | Repayment Terms: R409 pm x 12*

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The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them. Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Internet of Everything IoE
Release date: July 2020
First published: 2021
Authors: Rashmi Agrawal • Marcin Paprzycki • Neha Gupta
Dimensions: 234 x 156 x 27mm (L x W x T)
Format: Hardcover
Pages: 319
ISBN-13: 978-0-367-33674-5
Categories: Books > Computing & IT > Computer communications & networking > Network security
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN: 0-367-33674-X
Barcode: 9780367336745

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