• Corpus ID: 204576058

Elementos da teoria de aprendizagem de máquina supervisionada

@article{Pestov2019ElementosDT,
  title={Elementos da teoria de aprendizagem de m{\'a}quina supervisionada},
  author={Vladimir G. Pestov},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.06820}
}
  • V. Pestov
  • Published 6 October 2019
  • Computer Science, Mathematics
  • ArXiv
This is a set of lecture notes for an introductory course (advanced undergaduates or the 1st graduate course) on foundations of supervised machine learning (in Portuguese). The topics include: the geometry of the Hamming cube, concentration of measure, shattering and VC dimension, Glivenko-Cantelli classes, PAC learnability, universal consistency and the k-NN classifier in metric spaces, dimensionality reduction, universal approximation, sample compression. There are appendices on metric and… 

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  • V. Pestov
  • Computer Science
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