Machine Learning Algorithms for Internet of Things: Unleashing the Power of Smart Connectivity

Machine Learning Algorithms for Internet of Things: Unleashing the Power of Smart Connectivity

1Pradnya Narkhede, 2Pranita Chaudhary, 3Suvarna Bhatsangave, 4Madhuri Pagale

1,2,3,4Pimpri Chinchwad College of Engineering, Pune

1pradnya.narkhede@pccoepune.org, 2pranita.chaudhary@pccoepune.org, 3suvarna.bhatsangave@pccoepune.org, 4madhuri.pagale@pccoepune.org

Abstract:

The combination of Machine Learning (Machine learning) algorithms and the Internet of Things (IoT) has transformed how we engage with our environment. The ability to analyze and collect enormous volumes of data generated by networked devices has created new opportunities for  optimization, Smart decision-making, and automation. This chapter will focus on different machine learning algorithms that can help improve the capabilities of IoT devices. We will examine the key algorithms and their applications in the IoT sector, ranging from supervised and unsupervised learning techniques to deep learning and reinforcement learning models.

Keyword: Machine Learning, Internet of things (IOT), K- Means, Linear Regression, Logistic Regression, PCA, Deep Learning, Smart city, CNN, LDA.