Abstract
The convergence of Machine Learning (ML) and the Internet of Things (IoT) offers the potential to create smarter systems capable of decision-making, optimization, and automation in real time. ML techniques are applied to analyze vast amounts of data generated by IoT devices, leading to enhanced system performance, predictive maintenance, and better user experience. This paper explores the integration of ML and IoT, discussing key challenges, applications, and future directions in the development of smarter IoT systems.

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Copyright (c) 2021 Swapnesh Taterh (Author)