This document is the preface of the 5th International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2023), June 3, 2023, held in Lviv, Ukraine. The main purpose of the Modern Machine Learning Technologies and Data Science Workshop is o provide a forum for researchers to discuss models for machine learning, multicriteria decision analysis and multi-objective optimization, and their real-life applications. In MoMLeT&DS Workshop, we encourage the submission of papers on machine learning, decision making, multi-objective optimization and multicriteria decision analysis areas. The MoMLeT+DS Workshop is soliciting literature review, survey and research papers comments including, whilst not limited to, the following areas of interest: Gradient Boosted Trees; Support Vector Machines; Unsupervised learning for clustering; MCDM Theory; Multi-objective Optimization; The language of Modern Machine Learning Technologies and Data Science Workshop is English.
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2023 Copyright for this paper by its authors. decision regarding the acceptance or rejection the papers got 2-5 reviews. The peer review statistics is as follows: 32 papers (2 reviews), 22 papers (3 reviews), 8 papers (4 reviews), and 3 papers (5 reviews).
The Modern Machine Learning Technologies and Data Science Workshop gathered participants from different countries including Germany, Poland, Switzerland, Israel, Algeria, France, India, Kazakhstan, Nigeria and Ukraine.
This year Organizing Committee received 64 submissions, out of which 43 were accepted for presentation as a regular papers. These papers and extended abstracts were published in this Volume I of the 5th International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2023) proceedings.