文件名称：bayesian_methods:关于贝叶斯机器学习方法的练习
文件大小：403KB
文件格式：ZIP
更新时间：2024-05-18 13:51:23
JupyterNotebook
贝叶斯方法 关于贝叶斯机器学习方法的练习
【文件预览】：
bayesian_methods-master
----Variational_inference_mean_field.ipynb(12KB)
----Bayesian_probit.ipynb(11KB)
----.gitignore(1KB)
----README.md(70B)
----LDA_simple.ipynb(22KB)
----Bayes Random Effects Logit.ipynb(37KB)
----Edward_mixture_model.ipynb(30KB)
----MCMC_collapsed_gibbs.ipynb(570B)
----LDA.ipynb(22KB)
----regression_Customer_ratings.ipynb(7KB)
----MCMC_Gibbs_sampling.ipynb(86KB)
----load_lendingclub.R(4KB)
----Bayes Logit.ipynb(51KB)
----Bayesian regression on loans.ipynb(34KB)
----Dirichlet distribution.ipynb(35KB)
----MCMC_Metropolis_Hastings.ipynb(68KB)
----deep_exponential.ipynb(8KB)
----Variational_inference_fixed_form.ipynb(683B)
----mixture_of_linear_regressions.ipynb(173KB)
----CryptoLSTM.ipynb(84KB)
----Edward coinflip example.ipynb(17KB)
----Bayes Logit Variational Inference.ipynb(73KB)