07. Machine Learning Crash Course

Linear regression/classifier

  • Formulation
  • Logistic regression
  • Regularization
  • Gradient descent: learning from errors

Trees and forests

  • Classification and regression trees
  • Random forest

XGboost and Adaboost

  • Adaboost
  • Gradient boosting
  • Extreme gradient boosting

SVM

  • Hinge loss
  • Linear SVM
  • Dual form
  • Kernel SVM
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