Go to content
UR Home

Machine learning and deep learning—A review for ecologists

URN to cite this document:
DOI to cite this document:
Pichler, Maximilian ; Hartig, Florian
[img]License: Creative Commons Attribution 4.0
PDF - Published Version
Date of publication of this fulltext: 08 Mar 2023 17:12


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 ...


Owner only: item control page
  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de
0941 943 -4239 or -69394

Dissertations: dissertationen@ur.de
0941 943 -3904

Research data: datahub@ur.de
0941 943 -5707

Contact persons