Machine Learning at National Chiao Tung University
Lecturer: Prof. Jui-Hung Hung and Prof. Wei-Chen Chiu

• HW1:

  • Regulized Linear Model Regression & Visualization
    • LSE
    • Newton's method

• HW2:

  • Naive Bayes Classifier
    • Support discrete and continuous
    • Dataset: MNIST
  • Online Learning
    • Use online learning to learn the beta distribution of the parameter p (chance to see 1) of the coin tossing trails in batch

• HW3:

  • Random Data Generator
    • Univariate gaussian data generator
    • Polynomial basis linear model data generator
  • Sequential Estimator
    • Sequential estimate the mean and variance
  • Baysian Linear regression
  • Visualization

• HW4:

  • Logistic regression
  • EM algorithm
    • Dataset: MNIST

• HW5:

  • Gaussian Process
  • SVM

• HW6:

  • Kernel K-means
  • Spectral Clustering
    • Normalize cut
    • Ratio cut

• HW7:

  • Kernel Eigenfaces/Fisherfaces
    • Dataset: Yale Face Database
  • t-SNE