prml

(β˜… 75)

Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book

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  • 1.1-polycurve.ipynb
  • 1.2.5-curve-fitting-revisited.ipynb
  • 2.1-binary-variables.ipynb
  • 2.1.1-beta-distribution.ipynb
  • 2.2-multinomial-variables.ipynb
  • 2.5.1-kernel-density-estimators.ipynb
  • 2.5.2-nearest-neighbor-classifiers.ipynb
  • 3.1-4.1.1-4.1.3-linear-basis-function-models.ipynb
  • 3.3.1-parameter-distribution.ipynb
  • 4.1.1-discriminant-functions-two-classes.ipynb
  • 4.3_Logistic_Regression.ipynb
  • 5.1-feed-forward.ipynb
  • 5.2-network-training.ipynb
  • README.md

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