This is a repo for test implementation while learning PRML. Take anything you want. Use at your own risk.
Current implementations includes:
-
Linear
- Linear Regression
- Logistic Regression
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Neural Network
- Back Propagation Network
- Back Propagation Perceptron
- Simple CNN (on TensorFlow)
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Probabilistic
- Gaussian Mixture Model
- EM (expectation maximization) algorithm on GMM
- Gibbs sampling methods on GMM
-
kNN Classifier
-
Naive Bayes Classifer
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Notes on lots of subjects
Comments and discussion are welcomed!
For formula not rendered porperly in Github preview, you may use chrome + 'GitHub with MathJax'. Or you may clone the code and use sublime + OmnipotentMarkup or any other mathjax support you prefer to view the markdown notes.