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CS383 Machine Learning @ Drexel winter 2017

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Drexel - Machine Learning

CS 383 Machine Learning @ Drexel winter 2017

Exam Review Notes

  • Visualizing Data
  • Dimensionality Reducing (PCA)
  • Clustering using k-means
  • Closed Form Linear Regression
  • S-Folds Cross Validation
  • Gradient Descent
  • k-Nearest Neighbors
  • Support Vector Machines
  • Multi-Class Support Vector Machines
  • Artificial Neural Networks
  • The Precision-Recall Tradeoff
  • Multi-Class Artificial Neural Networks

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