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Machine Learning

A set of methods that can automatically detect patterns in data, and then use the patterns to predict future data, or to perform other kinds of decision making under certainty.

  • Machine Learning: A Probabilistic Perspective
  • Practical Deep Learning for Coders

Children
  1. Concept Learning
  2. Cross Entropy Loss
  3. Cross Validation
  4. Curse of Dimensionality
  5. Dimensionality Reduction
  6. Gradient Descent
  7. K Nearest Neighbours
  8. Likelihood
  9. Linear Regression
  10. Logistic Regression
  11. Parametric and Non-parametric Models
  12. Posterior
  13. Posterior Predictive Distribution
  14. Practical Deep Learning for Coders
  15. Principal Components Analysis
  16. Prior
  17. Supervised Learning
  18. Tenenbaum Number Guessing
  19. Training Set
  20. Unsupervised Learning