Analysis of cloud environment for implementing machine learning model comparative to the local server

Devegowda, Devaraj (2022) Analysis of cloud environment for implementing machine learning model comparative to the local server. Masters thesis, Dublin, National College of Ireland.

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Abstract

Machine learning implementation is becoming very popular in all industries. In agriculture, machine learning is implemented for different problems. some problems are crop recommendation and yield prediction. This study shows the implementation of crop recommendation and yield prediction using the two best algorithms with high accuracy. This research also proves which is the best platform to build, train and deploy machine learning models. Machine learning models are developed in two different environments one local machine and the other AWS SageMaker. After the deployments, this study proves that using AWS SageMaker provides more benefits compared to local machine development. Performance testing for both environments is done using JMeter. Results are evaluated on different samples.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Tamara Malone
Date Deposited:	05 Dec 2022 16:36
Last Modified:	08 Mar 2023 14:57
URI:	https://norma.ncirl.ie/id/eprint/5968

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