Download the fantastic book titled Machine Learning Enabled IoT for Smart Applications Across Industries written by Neha Goel, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning Enabled IoT for Smart Applications Across Industries", which was released on 10 May 2024. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Industrial management genre.
Summary of Machine Learning Enabled IoT for Smart Applications Across Industries by Neha Goel PDF
Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. Machine Learning-Enabled IoT for Smart Applications Across Industries highlights the importance of ML for IoT's success and diverse ML-powered IoT applications. This book addresses the problems and challenges in energy, industry, and healthcare and solutions proposed for ML-enabled IoT and new algorithms in ML. It further addresses their accuracy for existing real-time applications. Covering topics such as agriculture, pattern recognition, and smart applications, this premier reference source is an essential resource for engineers, scientists, educators, students, researchers, and academicians.
Detail About Machine Learning Enabled IoT for Smart Applications Across Industries PDF
- Author : Neha Goel
- Publisher : Engineering Science Reference
- Genre : Industrial management
- Total Pages : 0 pages
- ISBN : 9781668487853
- Release Date : 10 May 2024
- PDF File Size : 22,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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