1887
Volume 39 Number 3
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397

Abstract

Abstract

Machine learning is fast becoming omnipresent in all aspects of science involving large volumes of data. The terminology and ideas involved are not immediately transparent or obvious to people not already immersed in the minutia of the implementation of machine learning procedures. Here, I try to relate the concepts and terminology used in machine learning to things that geoscientists will already be familiar with, so as to form a bridge between their current knowledge and an understanding of machine learning.

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2021-03-01
2024-03-29
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