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Business-Analytics

Course homepage for "Business Analytics" @Korea University

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Schedule

Topic 1: Dimensionality Reduction

  • Dimensionality Reduction: Overview
  • Supervised Methods: Forward selection, Backward elimination, Stepwise selection, Genetic algorithm
  • Unsupervised Method (Linear embedding): Principal component analysis (PCA), Multi-dimensional scaling (MDS)
  • Unsupervised Method (Nonlinear embedding): ISOMAP, LLE, t-SNE
  • Tutorial 1: Supervised Method (장명준)
  • Tutorial 2: Unsupervised Method (Linear embedding) (정재윤)
  • Tutorial 3: Unsupervised Method (Nonlinear embedding) (서승완)

Topic 2: Kernel-based Learning

  • Theoretical foundation
  • Support Vector Machine (SVM)
  • Support Vector Regression (SVR)
  • Kernel Fisher Discriminant Analysis (KFDA)
  • Kernel Principal Component Analysis (KPCA)
  • Tutorial 4: Support Vector Machine (SVM) (성유연)
  • Tutorial 5: Support Vector Regression (SVR) (이민정)
  • Tutorial 6: Kernel Fisher Discriminant Analysis (KFDA) (조윤상)
  • Tutorial 7: Kernel Principal Component Analysis (KPCA) (채선율)

Topic 3: Novelty Detection

  • Novelty detection: Overview
  • Density-based novelty detection
  • Distance/Reconstruction-based novelty detection
  • Model-based novelty detection
  • Applications
  • Tutorial 8: Density-based novelty detection (전창동, 오주혁)
  • Tutorial 9: Distance/Reconstruction-based novelty detection (옥명훈)
  • Tutorial 10: Model-based novelty detection (송서하, 최현율)

Topic 4: Ensemble Learning

  • Motivation and theoretical backgrounds
  • Bagging
  • Boosting: AdaBoost, Gradient Boosting
  • Tree-based Ensemble: Random Forests, Decision Jungle
  • Tutorial 11: Bagging (이주한)
  • Tutorial 12: AdaBoost, Gradient Boosting (김명소)
  • Tutorial 13: Random Forests, Decision Jungle (임희찬, 권상현)

Topic 5: Semi-supervised Learning

  • Overview
  • Self-training
  • Generative models
  • Semi-supervised SVM
  • Graph-based SSL
  • Multi-view algorithm (Co-training)
  • Tutorial 14: Self-training (김우일)
  • Tutorial 15: Generative models (강성호)
  • Tutorial 16: Graph-based SSL (안건이)
  • Tutorial 17: Multi-view algorithm (Co-training) (이준헌)

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Course homepage for "Business Analytics" @korea University

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