… We provide an introduction to machine learning and contrast it with mechanistic inference, …
on deep learning. We review the applications of deep learning in ecology and evolution and …

… indispensable tool in ecology and evolution, comparable to other traditional statistical tools.
… revolution occurred with the rediscovery of deep neural networks, fueled by the availability of …

… Considering the complexity of ecological data and the ever-growing size of ecological …
believe that deep learning can be a key tool for many ecologists. Indeed, other machine learning …

… Glossary of terms relevant for computer vision and machine learning in ecology and evolution
used in this review. Terms in this list are printed in italic when first mentioned in the main …

… to utilize these developments towards improved ecological prediction… Deep learning is a
rapidly evolving branch of machine learning, yet has received only little attention in ecology to …

… Here, we connect recent developments in deep learning and computer vision to the urgent
… how deep learning tools can be applied to exceptionally large datasets to derive ecological …

… This technological advancement parallels the invention of new sensors and machine learning
tools for image analysis in wildlife conservation [19,20]. Similarly, there exist vast amounts …

… of machine learning as a regression and classification tool to … predictive tool compared to
more classical statistical tools but … This example of application of machine learning opens new …

… how machine learning has been used to gain knowledge on oncogenic processes in wildlife.
Using a landscape ecology … , for each level, how machine learning has been used, or could …

The last decade has transformed the field of artificial intelligence, with deep learning at the
forefront of this development. With its ability to ‘self-learn' discriminative patterns directly from …