In:
International Journal of Electrical and Computer Engineering (IJECE), Institute of Advanced Engineering and Science, Vol. 12, No. 4 ( 2022-08-01), p. 4243-
Abstract:
The world is changing quite rapidly while increasingly tuning into digitalization. However, it is important to note that data science is what most technology is evolving around and data is definitely the future of everything. For industries, adopting a “data science approach” is no longer an option, it becomes an obligation in order to enhance their business rather than survive. This paper offers a roadmap for anyone interested in this research field or getting started with “machine learning” learning while enabling the reader to easily comprehend the key concepts behind. Indeed, it examines the benefits of automated machine learning systems, starting with defining machine learning vocabulary and basic concepts. Then, explaining how to, concretely, build up a machine learning model by highlighting the challenges related to data and algorithms. Finally, exposing a summary of two studies applying machine learning in two different fields, namely transportation for road traffic forecasting and supply chain management for demand prediction where the predictive performance of various models iscompared based on different metrics.
Type of Medium:
Online Resource
ISSN:
2722-2578
,
2088-8708
DOI:
10.11591/ijece.v12i4
DOI:
10.11591/ijece.v12i4.pp4243-4252
Language:
Unknown
Publisher:
Institute of Advanced Engineering and Science
Publication Date:
2022
detail.hit.zdb_id:
2667127-X
