… solutions using Machine learning (ML) algorithms. … machine learning techniques in cloud
computing environments. In Proceedings of the International Conference of Cloud Computing …

… We will investigate how cloud computing paradigm … the cloud. A second line of products is
augmenting existing tools with plugins that allow users to create a Hadoop cluster in the cloud …

… by cloud computing, a huge amount of historical data on scenarios can be collected for extracting
similarities among scenarios using machine learning… , a machine learning framework is …

… most popular machine learning algorithms used in practice. Machine learning methods can
… Machine learning can be used also for inference tasks, ie, to understand how the response …

… In recent years, cloud computing gained a great attention in HCS applications due to its
ability to provide different medical services over the internet. Cloud computing allows …

… To realize the new computing and communication paradigms, we must upgrade the cloud
computing ecosystem with new capabilities for machine learning, IoT sensing, data analytics, …

… Accurate task workload prediction is crucial in cloud resource management. In this paper,
we first measured and compared the state-of-the-art statistical and machine learning methods …

… internet of things, machine learning in cloud computing, machine learning and security in
IoT… future trends in machine learning techniques for integrated cloud computing paradigms. A …

… However, one of the major challenges in machine learning-… In the proposed system, we
combine a supervised machine learning … The machine learning algorithm is used to generate a …

… Machine, K-Nearest Neighbours, Neural Networks, Logistic Regression and Gradient Boosting
Trees. This paper evaluates these machine learning … of these machine learning models is …