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Learning linear algebra

  • Unsupervised Learning: No output (Y) is given; Try to learn structure (X).
  • Supervised Learning: Both input (X), and output (Y) are given; Try to predict label / real-value.
    • Classification: Try to predict label.
    • Regression: Try to predict real-value.