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  Module 1: Learning and Metrics

  • Supervised machine learning
  • Metrics for regression
  • Metrics for classificaton
  • Metrics for probabilistic predictions
  • Precision-recall tradeoff
  • Feature importance
  • Non-parametric vs. parametric analysis
  • Asymptotic approximation propert