prml:Christopher Bishop的《模式识别和机器学习》一书的注释代码和笔记本的存储库源码

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模式识别和机器学习(PRML) 该项目包含Christopher Bishop的“模式识别和机器学习”一书中介绍的许多算法的Jupyter笔记本,以及该书中介绍的许多图形的副本。讨论(新) 如果您有任何疑问和/或要求,请查看页面! 有用的链接内容 . ├── README.md ├── chapter01 │ ├── einsum.ipynb │ ├── exercises.ipynb │ └── introduction.ipynb ├── chapter02 │ ├── Exercises.ipynb │ ├── bayes-binomial.ipynb │

文件列表

prml-master.zip (预估有个72文件)

prml-master

chapter03

equivalent-kernel.ipynb 159KB

sequential-bayesian-learning.ipynb 331KB

evidence-approximation.ipynb 862KB

predictive-distribution.ipynb 600KB

linear-models-for-regression.ipynb 26KB

Bayesian-linear-regression.ipynb 124KB

chapter05

weight-space-symmetry.ipynb 5KB

imgs

f51.png 124KB

Ellipses.ipynb 18KB

soft-weight-sharing.ipynb 136KB

mixture-density-networks.ipynb 719KB

bayesian-neural-networks.ipynb 19KB

backpropagation.ipynb 157KB

chapter11

hybrid-montecarlo.ipynb 1.17MB

gibbs-sampling.ipynb 470KB

markov-chain-motecarlo.ipynb 369KB

rejection-sampling.ipynb 219KB

slice-sampling.ipynb 295KB

transformation-random-variables.ipynb 203KB

adaptive-rejection-sampling.ipynb 567KB

chapter12

kernel-pca.ipynb 1KB

bayesian-pca.ipynb 12KB

probabilistic-pca.ipynb 922KB

ppca.py 6KB

principal-component-analysis.ipynb 147KB

chapter01

einsum.ipynb 99KB

introduction.ipynb 151KB

exercises.ipynb 173KB

chapter09

gaussian-mixture-models.ipynb 876KB

mixture-of-bernoulli.ipynb 283KB

k-means.ipynb 198KB

chapter04

fisher-linear-discriminant.ipynb 151KB

perceptron.ipynb 947B

logistic-regression.ipynb 155KB

exercises.ipynb 52KB

least-squares-classification.ipynb 185KB

chapter14

boosting.ipynb 620KB

cmm-linear-regression.ipynb 324KB

tree.py 7KB

cmm-logistic-regression.ipynb 228KB

CART.ipynb 278KB

chapter13

linear-dynamical-system.ipynb 1KB

em-hidden-markov-model.ipynb 460KB

hidden-markov-model.ipynb 242KB

chapter06

gaussian-processes.ipynb 1MB

kernel-regression.ipynb 367KB

README.md 4KB

chapter10

exponential-mixture-gaussians.ipynb 5KB

variational-logistic-regression.ipynb 389KB

mixture-gaussians.ipynb 952KB

variational-univariate-gaussian.ipynb 93KB

local-variational-methods.ipynb 565KB

chapter02

exponential-family.ipynb 5KB

periodic-variables.ipynb 255KB

mixtures-of-gaussians.ipynb 48KB

bayes-binomial.ipynb 443KB

gamma-distribution.ipynb 466KB

robbins-monro.ipynb 640KB

Exercises.ipynb 49KB

students-t-distribution.ipynb 160KB

density-estimation.ipynb 1.06MB

bayes-normal.ipynb 1.1MB

chapter07

RVMs.ipynb 811KB

misc

tikz

ch8-sum-product.tex 823B

ch13-hmm.tex 2KB

.gitignore 1005B

chapter08

img.jpeg 47KB

Trees.ipynb 90KB

exercises.ipynb 34KB

markov-random-fields.ipynb 185KB

graphical-model-inference.ipynb 40KB

sum-product.ipynb 3KB

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prml:Christopher Bishop的《模式识别和机器学习》一书的注释代码和笔记本的存储库 源码

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