Machine Learning Challenges for Smart Cities

Authors

  • Junior Barrera University of São Paulo
  • Marcelo Finger University of São Paulo
  • Roberto Hirata Jr. University of São Paulo

DOI:

https://doi.org/10.5753/compbr.2017.35.5068

Keywords:

Smart Cities, Machile Learning, Data Analysis

Abstract

This paper addresses the technical and ethical challenges of applying machine learning to city data analysis.

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References

Trevor Hastie, Robert Tibshirani and Jerome Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, 2009, Second edition.

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Published

2017-12-01

How to Cite

Barrera, J., Finger, M., & Hirata Jr., R. (2017). Machine Learning Challenges for Smart Cities. Brazil Computing, (35), 25–28. https://doi.org/10.5753/compbr.2017.35.5068

Issue

No. 35 (2017)

Section

Papers

License

Copyright (c) 2017 Os autores

Creative Commons License

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