Statistical Learning (Fall 21)

Graduate course

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  • Summer 18 - MAA NREUP
  • Summer 19 - MAA NREUP

Welcome:

  • Syllabus

Slides:
  • Set 1: Intro to Statistical Learning 
  • Set 2: Overview of Supervised Learning
  • Set 3: Linear Methods for Regression
  • Set 4: Linear Methods for Classification
  • Set 5: Support Vector Machines (SVM)
  • Set 6: Tree-based Mathods
  • Set 7: Ensemble Methods
  • Set 8: Neural Networks
  • Set 9: Unsupervised Learning

Please send me any questions or corrections to my email: tamer.oraby(@)utrgv(.)edu