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Title: GitHub - beazcode/machine-learning-notes: My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Open Graph Title: GitHub - beazcode/machine-learning-notes: My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

X Title: GitHub - beazcode/machine-learning-notes: My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Description: My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接 - beazcode/machine-learning-notes

Open Graph Description: My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接 - beazcode/machine-learning-notes

X Description: My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接 - beazcode/machine-learning-notes

Mail addresses
YiDa.Xu@uts.edu.au
YiDa.Xu@uts.edu.au

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[adaptive_rejection_sampling.m]	https://github.com/roboticcam/matlab_demos/blob/master/adaptive_rejection_sampling.m
[hybrid_gmm.m]	https://github.com/roboticcam/matlab_demos/blob/master/hybrid_gmm.m
Markov Chain Monte Carlo	https://github.com/roboticcam/machine-learning-notes/blob/master/files/markov_chain_monte_carlo.pdf
	https://patch-diff.githubusercontent.com/beazcode/machine-learning-notes#markov-chain-monte-carlo
[lda_gibbs_example.m]	https://github.com/roboticcam/matlab_demos/blob/master/lda_gibbs_example.m
[test_autocorrelation.m]	https://github.com/roboticcam/matlab_demos/blob/master/test_autocorrelation.m
[gibbs.m]	https://github.com/roboticcam/matlab_demos/blob/master/gibbs.m
[bilibili video]	https://www.bilibili.com/video/av23980130
[lda_gibbs_example.m]	https://github.com/roboticcam/matlab_demos/blob/master/lda_gibbs_example.m
[test_autocorrelation.m]	https://github.com/roboticcam/matlab_demos/blob/master/test_autocorrelation.m
[gibbs.m]	https://github.com/roboticcam/matlab_demos/blob/master/gibbs.m
[B站视频链接]	https://www.bilibili.com/video/av23980130
Particle Filter (Sequential Monte-Carlo)	https://github.com/roboticcam/machine-learning-notes/blob/master/files/particle_filter.pdf
	https://patch-diff.githubusercontent.com/beazcode/machine-learning-notes#particle-filter-sequential-monte-carlo
[bilibili video]	https://www.bilibili.com/video/av24285449
[B站视频链接]	https://www.bilibili.com/video/av24285449
	https://patch-diff.githubusercontent.com/beazcode/machine-learning-notes#advanced-probabilistic-model-高级概率模型课件
Bayesian Non Parametrics (BNP) and its inference basics	https://github.com/roboticcam/machine-learning-notes/blob/master/files/non_parametrics.pdf
	https://patch-diff.githubusercontent.com/beazcode/machine-learning-notes#bayesian-non-parametrics-bnp-and-its-inference-basics
[dirichlet_process.m]	https://github.com/roboticcam/matlab_demos/blob/master/dirichlet_process.m
[bilibili video]	https://www.bilibili.com/video/av23881062
[Jupyter Notebook]	https://github.com/roboticcam/python_machine_learning/blob/master/chinese_restaurant_process.ipynb
[dirichlet_process.m]	https://github.com/roboticcam/matlab_demos/blob/master/dirichlet_process.m
[B站视频链接]	https://www.bilibili.com/video/av23881062
[Jupyter Notebook]	https://github.com/roboticcam/python_machine_learning/blob/master/chinese_restaurant_process.ipynb
Bayesian Non Parametrics (BNP) extensions	https://github.com/roboticcam/machine-learning-notes/blob/master/files/non_parametrics_extensions.pdf
	https://patch-diff.githubusercontent.com/beazcode/machine-learning-notes#bayesian-non-parametrics-bnp-extensions
Completely Random Measure (early draft - written in 2015)	https://github.com/roboticcam/machine-learning-notes/blob/master/files/random_measure.pdf
	https://patch-diff.githubusercontent.com/beazcode/machine-learning-notes#completely-random-measure-early-draft---written-in-2015
Sample correlated integers from HDP and Copula	https://github.com/roboticcam/machine-learning-notes/blob/master/files/copula_dp.pdf
	https://patch-diff.githubusercontent.com/beazcode/machine-learning-notes#sample-correlated-integers-from-hdp-and-copula
IJCAI 2016 papers	https://www.ijcai.org/Proceedings/16/Papers/210.pdf
IJCAI2016论文	https://www.ijcai.org/Proceedings/16/Papers/210.pdf
Determinantal Point Process	https://github.com/roboticcam/machine-learning-notes/blob/master/files/dpp.pdf
	https://patch-diff.githubusercontent.com/beazcode/machine-learning-notes#determinantal-point-process
	https://patch-diff.githubusercontent.com/beazcode/machine-learning-notes#special-thanks
Readme	https://patch-diff.githubusercontent.com/beazcode/machine-learning-notes#readme-ov-file
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