Machine learning and deep learning—A review for ecologists

URN to cite this document:: urn:nbn:de:bvb:355-epub-539172
DOI to cite this document:: 10.5283/epub.53917

Pichler, Maximilian

; Hartig, Florian

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 08 Mar 2023 17:12

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Abstract

The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI) has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML and DL algorithms are often perceived as opaque, and their relationship to classical data analysis tools remains debated. Although it is often assumed that ML and DL excel primarily at making predictions, ML ...