Machine Learning: science catalyst

Authors

  • Héctor Allende-Cid Universidad Técnica Federico Santa María

DOI:

https://doi.org/10.5753/compbr.2019.39.4521

Keywords:

Machine Learning, Artificial Intelligence, Natural Language Processing, Health

Abstract

The paper highlights the role of machine learning as a driver of science by being able to automatically classify empirical data, such as plankton classification and patient diagnosis through Natural Language Processing.

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References

Cynthia Rudin and Kiri L. Wagstaff. Machine learning for science and society. Machine Learning. 2014.

O. Py, H. Hong and S. Zhongzhi, "Plankton classification with deep convolutional neural networks. 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference. Chongqing, 2016.

Juliet Beni Edgcomb and Bonnie Zima. Machine Learning, Natural Language Processing, and the Electronic Health Record: Innovations in Mental Health Services Research. Psychiatric Services. 2019.MIT Press, url: [link].

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Published

2019-04-01

How to Cite

Allende-Cid, H. (2019). Machine Learning: science catalyst. Brazil Computing, (39), 15–18. https://doi.org/10.5753/compbr.2019.39.4521

Issue

No. 39 (2019)

Section

Papers

License

Creative Commons License

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