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Catalogue · Faculty of Statistics

STAT 210

Statistical Learning

Hastie and Tibshirani — two of the people who built the field — teach their own An Introduction to Statistical Learning. Linear models, classification, cross-validation, trees and forests, and unsupervised methods, with labs in R or Python. The textbook is free, the lectures are free, and the statistical point of view is the perfect counterweight to a deep-learning-first education.

Syllabus
  • regression
  • classification
  • resampling
  • tree-based methods
  • unsupervised learning
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Held at Stanford Online. The materials remain theirs; the structure is ours. Finished it? Record it in your transcript.