Big Data, IoT, and Machine Learning: Tools and Applications (Internet of Everything

by Rashmi Agrawal (Editor), Marcin Paprzycki (Editor), Neha Gupta (Editor)

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 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

Kindle Edition

Published July 29, 2020