Lessons learned and perspectives on constrained data collection and preparation for a predictive machine learning model applied to transportation industry in a non-digitalised environment
January-June, 2024 - Vol 10 Num. 1
Machine learning algorithms are based on qualitative and quantitative historical data, to create predictive models for shape recognition, autonomous systems, etc., using classifiers like K-Nearest Neighbors (KNN), neural-network, etc. So, treatment of data is the undisputed fuel that powers any machine learning endeavour....
Lessons learned and perspectives on constrained data collection and preparation for a predictive machine learning model applied to transportation industry in a non-digitalised environment
January-June, 2024
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