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Title: GitHub - HuTwoThreeFour/machine-learning-notes: My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接 · GitHub

Open Graph Title: GitHub - HuTwoThreeFour/machine-learning-notes: My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

X Title: GitHub - HuTwoThreeFour/machine-learning-notes: My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

Description: My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接 - HuTwoThreeFour/machine-learning-notes

Open Graph Description: My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接 - HuTwoThreeFour/machine-learning-notes

X Description: My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接 - HuTwoThreeFour/machine-learning-notes

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

Opengraph URL: https://github.com/HuTwoThreeFour/machine-learning-notes

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https://github.com/HuTwoThreeFour/machine-learning-notes#convolution-neural-networks-from-basic-to-recent-research
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https://github.com/HuTwoThreeFour/machine-learning-notes#probabilistic-estimation
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[Youku]http://v.youku.com/v_show/id_XMTM2ODU1MzMzMg
[优酷链接]http://v.youku.com/v_show/id_XMTM1MzQ1NDk5Ng
[kalman_demo.m]https://github.com/roboticcam/matlab_demos/blob/master/kalman_demo.m
[优酷链接]http://v.youku.com/v_show/id_XMTM2ODU1MzMzMg
https://github.com/HuTwoThreeFour/machine-learning-notes#inference-推断课件
Variational Inferencehttps://github.com/roboticcam/machine-learning-notes/blob/master/variational.pdf
https://github.com/HuTwoThreeFour/machine-learning-notes#variational-inference
[vb_normal_gamma.m]https://github.com/roboticcam/matlab_demos/blob/master/vb_normal_gamma.m
[优酷链接]http://v.youku.com/v_show/id_XMTM1Njc5NzkxNg
[vb_normal_gamma.m]https://github.com/roboticcam/matlab_demos/blob/master/vb_normal_gamma.m
[优酷链接]http://v.youku.com/v_show/id_XMTM1Njc5NzkxNg
Stochastic Matriceshttps://github.com/roboticcam/machine-learning-notes/blob/master/stochastic_matrices.pdf
https://github.com/HuTwoThreeFour/machine-learning-notes#stochastic-matrices
Introduction to Monte Carlohttps://github.com/roboticcam/machine-learning-notes/blob/master/introduction_monte_carlo.pdf
https://github.com/HuTwoThreeFour/machine-learning-notes#introduction-to-monte-carlo
[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
[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 Carlohttps://github.com/roboticcam/machine-learning-notes/blob/master/markov_chain_monte_carlo.pdf
https://github.com/HuTwoThreeFour/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
[Youku]http://v.youku.com/v_show/id_XMTM1NjAyNDYyNA
[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
[优酷链接]http://v.youku.com/v_show/id_XMTM1NjAyNDYyNA
Particle Filter (Sequential Monte-Carlo)https://github.com/roboticcam/machine-learning-notes/blob/master/particle_filter.pdf
https://github.com/HuTwoThreeFour/machine-learning-notes#particle-filter-sequential-monte-carlo
[Youku]http://v.youku.com/v_show/id_XMTM3MTE1Mjk2OA
[优酷链接]http://v.youku.com/v_show/id_XMTM3MTE1Mjk2OA
https://github.com/HuTwoThreeFour/machine-learning-notes#advanced-probabilistic-model-高级概率模型课件
Bayesian Non Parametrics (BNP) and its inference basicshttps://github.com/roboticcam/machine-learning-notes/blob/master/non_parametrics.pdf
https://github.com/HuTwoThreeFour/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
[优酷链接]http://v.youku.com/v_show/id_XMTM3NDY0MDkxNg
[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
[优酷链接]http://v.youku.com/v_show/id_XMTM3NDY0MDkxNg
[Jupyter Notebook]https://github.com/roboticcam/python_machine_learning/blob/master/chinese_restaurant_process.ipynb
Bayesian Non Parametrics (BNP) extensionshttps://github.com/roboticcam/machine-learning-notes/blob/master/non_parametrics_extensions.pdf
https://github.com/HuTwoThreeFour/machine-learning-notes#bayesian-non-parametrics-bnp-extensions
Determinantal Point Processhttps://github.com/roboticcam/machine-learning-notes/blob/master/dpp.pdf
https://github.com/HuTwoThreeFour/machine-learning-notes#determinantal-point-process
https://github.com/HuTwoThreeFour/machine-learning-notes#special-thanks
Readme https://github.com/HuTwoThreeFour/machine-learning-notes#readme-ov-file
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