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  Module 5: Unsupervised Learning

  • Metrics for unsupervised learning
  • Clustering
  • K-Means
  • Gaussian mixture models
  • Random projections
  • Matrix factorization
  • Prinicpal Components Analysis (PCA)
  • Non-negative Matrix Factorization (NMF)
  • Restricted Boltzman Machines