• Machine Learning Theory
  • Data pre-processing
    • Missing Data
    • Dummy Coding
    • Standardization
    • Training/Test data
  • Supervised Versus Unsupervised Learning
  • Unsupervised Learning: Clustering
    • Clustering Algorithms
    • Evaluating Cluster Performance
  • Dimensionality Reduction
    • A-priori
    • Principal Components Analysis
    • Penalized Regression