Abstract
In this ever-changing world, cloud computing will definitely play a vital role in our daily life as everything is going to be mapped on it. In this paper, we have considered the cloud environment provided by Microsoft Azure to use machine learning tools for the prediction of exchange rate. We have also considered the exchange rates of forty-two different countries to design our data set for the experimental purpose. We have used various machine learning tools provided by Microsoft Azure and predict the future values of dollar in terms of Indian rupees (US/INR). The experiments are performed in the cloud computing environment, and it has been analyzed that neural network regression model is performing better than the other models considered in this paper. It has also been observed that the performance of the machine learning tools provided by Microsoft Azure are very much competitive with respect to the traditional machine learning approach.
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Pandey, T.N., Priya, T., Jena, S.K. (2021). Prediction of Exchange Rate in a Cloud Computing Environment Using Machine Learning Tools. In: Mishra, D., Buyya, R., Mohapatra, P., Patnaik, S. (eds) Intelligent and Cloud Computing. Smart Innovation, Systems and Technologies, vol 153. Springer, Singapore. https://doi.org/10.1007/978-981-15-6202-0_15
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DOI: https://doi.org/10.1007/978-981-15-6202-0_15
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