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Probability and Information Theory

The probabilistic foundations of learning

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What you'll unlock:

  • 1. Probability Basics
  • 2. Random Variables and Distributions
  • 3. Expectation and Variance
  • 4. Bayes' Theorem
  • 5. Maximum Likelihood Estimation
  • 6. Information Theory
  • 7. Sampling and Monte Carlo Methods
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