Machine learning-based cloud computing and IOT: A review

Abstract

This study provides an examination of machine learning methodologies and the necessity for machine learning and its many classifications. The article centered around contemporary studies on the amalgamation of IoT with cloud computing technology and the advantages of connecting cloud computing methodologies with IoT systems. The text provides a comprehensive examination of several machine learning methods, such as Support Vector Machines (SVM), and neural network techniques, such as Artificial Neural Networks (ANN). The text examines deep learning algorithms, namely Convolutional Neural Network CNN, Recurrent Neural Network RNN, and ensemble learning approaches, in terms of their produced models, objectives, applications, challenges, and the outcomes they have obtained. The paper provides a thorough examination of the implementation of several machine learning and deep learning algorithms, with a focus on comparing their performance.