chore: import upstream snapshot with attribution

2026-07-13 13:30:25 +08:00
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+# PRML
+Python codes implementing algorithms described in Bishop's book "Pattern Recognition and Machine Learning"
+
+## Required Packages
+- python 3
+- numpy
+- scipy
+- jupyter (optional: to run jupyter notebooks)
+- matplotlib (optional: to plot results in the notebooks)
+- sklearn (optional: to fetch data)
+
+## Notebooks
+- [ch1. Introduction](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch01_Introduction.ipynb)
+- [ch2. Probability Distributions](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch02_Probability_Distributions.ipynb)
+- [ch3. Linear Models for Regression](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch03_Linear_Models_for_Regression.ipynb)
+- [ch4. Linear Models for Classification](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch04_Linear_Models_for_Classfication.ipynb)
+- [ch5. Neural Networks](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch05_Neural_Networks.ipynb)
+- [ch6. Kernel Methods](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch06_Kernel_Methods.ipynb)
+- [ch7. Sparse Kernel Machines](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch07_Sparse_Kernel_Machines.ipynb)
+- [ch9. Mixture Models and EM](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch09_Mixture_Models_and_EM.ipynb)
+- [ch10. Approximate Inference](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch10_Approximate_Inference.ipynb)
+- [ch11. Sampling Methods](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch11_Sampling_Methods.ipynb)
+- [ch12. Continuous Latent Variables](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch12_Continuous_Latent_Variables.ipynb)