Skip to Main Content
Machine Learning Paradigm for Internet of Things Applications
book

Machine Learning Paradigm for Internet of Things Applications

by Shalli Rani, R. Maheswar, G. R. Kanagachidambaresan, Sachin Ahuja, Deepali Gupta
March 2022
Intermediate to advanced content levelIntermediate to advanced
304 pages
7h 38m
English
Wiley-Scrivener
Content preview from Machine Learning Paradigm for Internet of Things Applications

11Opportunities and Challenges in Machine Learning With IoT

Sarvesh Tanwar, Jatin Garg*, Medini Gupta and Ajay Rana

Amity Institute of Information Technology, Amity University Uttar Pradesh, Noida, India

Abstract

Machine learning (ML) is swiftly being used in wide range of applications. It has risen to popularity in recent years, owing in part to the emergence of big data. With respect to big data, ML techniques are more promising than ever before. Big data helps ML algorithms to discover finer-grained trends and make more precise and reliable predictions than ever before; however, it also raises significant obstacles for ML, such as model scalability and distributed computation. We have discussed about coupling ML with IoT, its applications, and challenges. We designed a framework MLBiD (Machine Learning Based on Big Data) and discussed about deliberation of its potential opportunities and defiant challenges. The architecture is focused on ML, which is split into three phases: preprocessing, learning, and assessment. Furthermore, it includes four other components in the framework: big data, consumer, domain, and system. Various different stages of ML as well as the components of MLBiD are stepping ahead for identifying related opportunities and challenges, and they have opened the doors for potential research analysis in a variety of previously untraveled or under expedition.

Keywords: Machine learning, IoT, supervised learning, unsupervised learning, big data, data processing, ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

R: Unleash Machine Learning Techniques

R: Unleash Machine Learning Techniques

Raghav Bali, Dipanjan Sarkar, Brett Lantz, Cory Lesmeister
Navigating the Metaverse

Navigating the Metaverse

Cathy Hackl, Dirk Lueth, Tommaso Di Bartolo, John Arkontaky, Yat Siu

Publisher Resources

ISBN: 9781119760474Purchase Link