Machine Learning and IoT for Intelligent Systems and Smart Applications

This book PDF is perfect for those who love Computers genre, written by Madhumathy P and published by CRC Press which was released on 17 November 2021 with total hardcover pages 243. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Machine Learning and IoT for Intelligent Systems and Smart Applications books below.

Machine Learning and IoT for Intelligent Systems and Smart Applications
Author : Madhumathy P
File Size : 50,7 Mb
Publisher : CRC Press
Language : English
Release Date : 17 November 2021
ISBN : 9781000484960
Pages : 243 pages
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Machine Learning and IoT for Intelligent Systems and Smart Applications by Madhumathy P Book PDF Summary

The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.

Machine Learning and IoT for Intelligent Systems and Smart Applications

The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent

Get Book
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