Document Type
Editorial
Publication Date
8-29-2019
Abstract
"Interest in machine learning is growing in all fields of science, industry, and business. This interest was not primarily initiated by new theoretical findings. Interestingly, the theoretical basis of the majority of machine learning techniques, such as artificial neural networks, decision trees, or kernel methods, have been known for a relatively long time. Instead, there are other effects that triggered the recent boom of machine learning."
Recommended Citation
Verkhivker G, Spiwok V and Gervasio FL (2019) Editorial: Machine Learning in Biomolecular Simulations. Front. Mol. Biosci. 6:76. doi: 10.3389/fmolb.2019.00076
Copyright
The authors
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
This editorial was originally published in Frontiers in Molecular Biosciences, volume 6, in 2019. DOI: 10.3389/fmolb.2019.00076