BetaML: The Beta Machine Learning Toolkit, a self-contained repository of Machine Learning algorithms in Julia

Julia Submitted 23 July 2020Published 30 April 2021
Review

Editor: @terrytangyuan (all papers)
Reviewers: @ablaom (all reviews), @ppalmes (all reviews)

Authors

Antonello Lobianco (0000-0002-1534-8697)

Citation

Lobianco, A., (2021). BetaML: The Beta Machine Learning Toolkit, a self-contained repository of Machine Learning algorithms in Julia. Journal of Open Source Software, 6(60), 2849, https://doi.org/10.21105/joss.02849

@article{Lobianco2021, doi = {10.21105/joss.02849}, url = {https://doi.org/10.21105/joss.02849}, year = {2021}, publisher = {The Open Journal}, volume = {6}, number = {60}, pages = {2849}, author = {Antonello Lobianco}, title = {BetaML: The Beta Machine Learning Toolkit, a self-contained repository of Machine Learning algorithms in Julia}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

machine learning neural networks deep learning clustering decision trees random forest perceptron data science

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066