Big Data, IoT, and Machine Learning: Tools and Applications

The book simplifies the journey of aspiring readers and researchers to understand Big Data, IoT, and Machine Learning, with real-time/offline applications and case studies in engineering, computer science, information security, and cloud computing. It covers basic and high-level concepts and services, data processing and security solutions, adaptive, robust, scalable, and reliable applications, and security issues and data migration techniques of NoSQL databases.

Format: Paperback / softback
Length: 340 pages
Publication date: 01 March 2022
Publisher: CRC Press

The book "Big Data, IoT, and Machine Learning: A Comprehensive Guide for Aspiring Readers and Researchers" aims to simplify the journey of aspiring readers and researchers to understand these technologies. It includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security, and cloud computing using modern tools. The 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:

1. Addresses the complete data science technologies workflow.
2. 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.
3. Covers data processing and security solutions in IoT and Big Data applications.
4. Offers adaptive, robust, scalable, and reliable applications to develop solutions for day-to-day problems.
5. Presents security issues and data migration techniques of NoSQL databases.

Weight: 476g
Dimension: 234 x 156 x 18 (mm)
ISBN-13: 9780367531218