Otaviano da C. Neto

Otaviano da C. Neto

MSc Student

CAP-INPE

Graduated in Computational Physics at the Fluminense Federal University (UFF). During graduation I did scientific initiation directed to deep machine learning, learned about several algorithms such as linear regression, logistic regression, multilayer neural networks, support vector machine and K-means starting from statistical models and theory of generalization of hypotheses. Today, I’m Masters Student at National Institute of Spacial Research (INPE) and my research is based in apply Active Learning in Machine Learning Force Field.

Interests
  • Machine Learning
  • Machine Learning in Materials Science
Education
  • MSc Student in Applied Computing, supervised by Marcos Quiles, 2021

    National Institute of Spacial Research (INPE)

  • BSc in Computational Physiscs, 2016

    Fluminense Federal University (UFF)