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Big Data, IoT, and Machine Learning

Big Data, IoT, and Machine Learning

Tools and Applications

by Rashmi AgrawalMarcin Paprzycki and Neha Gupta
Paperback
Publication Date: 13/03/2025

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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
ISBN:
9780367531218
9780367531218
Category:
Data capture & analysis
Format:
Paperback
Publication Date:
13-03-2025
Publisher:
Taylor & Francis Ltd
Country of origin:
United Kingdom
Pages:
319
Dimensions (mm):
234x156x18mm
Weight:
1.04kg

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