├── README.md ├── White_2019_10_12_Linear_Regression_01.pdf ├── White_2019_10_14_Linear_Regression_02.pdf ├── White_2019_10_18_Math_Basis_01.pdf ├── White_2019_10_19_Math_Basis_02.pdf ├── White_2019_10_20_Math_Basis_03.pdf ├── White_2019_10_21_Math_Basis_04.pdf ├── White_2019_10_22_Exponential_Family_Distribution_01.pdf ├── White_2019_10_23_Exponential_Family_Distribution_02.pdf ├── White_2019_10_24_Exponential_Family_Distribution_03.pdf ├── White_2019_10_26_Exponential_Family_Distribution_04.pdf ├── White_2019_10_29_Linear_Classification_01.pdf ├── White_2019_10_30_Linear_Classification_02.pdf ├── White_2019_10_31_Linear_Classification_03.pdf ├── White_2019_11_01_Linear_Classification_04.pdf ├── White_2019_11_01_Linear_Classification_05_Discriminate_Generate.pdf ├── White_2019_11_04_Linear_Classification_06.pdf ├── White_2019_11_05_Bayes_Linear_Classification_01_Background.pdf ├── White_2019_11_06_Bayes_Linear_Classification_02_Inference.pdf ├── White_2019_11_07_Bayes_Linear_Classification_03_Prediction___Conclusion.pdf ├── White_2019_11_10_Feedforward_Neural_Network_01_Background.pdf ├── White_2019_11_11_Feedforward_Neural_Network_02_Development.pdf ├── White_2019_11_12_Feedforward_Neural_Network_03_Non_Linear_Problem.pdf ├── White_2019_11_13_Support_Vector_Machine_01_Hard_Margin_Modeling_and_Solution.pdf ├── White_2019_11_15_Support_Vector_Machine_02_Soft_Margin.pdf ├── White_2019_11_16_Support_Vector_Machine_03_Weak_Duality_Proof (1).pdf ├── White_2019_11_17_Support_Vector_Machine_04_Weak_Duality_Geometric_Interpretation.pdf ├── White_2019_11_18_Support_Vector_Machine_05_Slate_and_KKT_Condition.pdf ├── White_2019_11_20_Kernel_Method_01_Background.pdf ├── White_2019_11_21_Kernel_Method_02_The_Definition_of_Positive_Kernel_Function.pdf ├── White_2019_11_22_Kernel_Method_03_Necessary_and_Sufficient_Conditions.pdf ├── White_2019_11_23_Probability_Graph_01_Background.pdf ├── White_2019_11_24_Probability_Graph_02_Bayesian_Network.pdf ├── White_2019_11_25_Probability_Graph_03_D_Separation.pdf ├── White_2019_11_26_Probability_Graph_04_Example.pdf ├── White_2019_11_27_Probability_Graph_05_Markov_Network.pdf ├── White_2019_11_28_Probability_Graph_06_Inference_Background.pdf ├── White_2019_11_30_Variational_Inference_01_Background.pdf ├── White_2019_11_30_Variational_Inference_02_Algorithm.pdf ├── White_2019_12_01_Variational_Inference_03_Algorithm_Solution.pdf ├── White_2019_12_01_Variational_Inference_04_Stochastic_Gradient_Variational_Inference.pdf ├── White_2019_12_07_Probability_Graph_07_Variable_Elimination.pdf ├── White_2019_12_08_Probability_Graph_08_Belief_Propagation.pdf ├── White_2019_12_10_Probability_Graph_09_Max_Product_Algorithm.pdf ├── White_2019_12_11_Probability_Graph_10_Moral_and_Factor_Graph.pdf ├── White_2019_12_13_Guassian_Process_01_Introduction.pdf ├── White_2019_12_14_Gaussian_Process_02_Weight_Space.pdf ├── White_2019_12_15_Gaussian_Process_03_Function_View.pdf ├── White_2019_12_17_Expectation_Maximization_01_Algorithm_Convergence.pdf ├── White_2019_12_18_Expectation_Maximization_02_Derived_Formula.pdf ├── White_2019_12_19_Expectation_Maximization_03__Generalized_Expectation_Maximization.pdf ├── White_2019_12_23_Gaussian_Mixture_Model_01_Model_Introduction.pdf ├── White_2019_12_24_Gaussian_Mixture_Model_02_Maximum_Likelihood_Estimation.pdf ├── White_2019_12_25_Gaussian_Mixture_Model_03_Expectation_Maximization.pdf ├── White_2019_12_30_Markov_Chain_Monte_Carlo_01_Sampling_Method.pdf ├── White_2019_12_31_Markov_Chain_Monte_Carlo_02_Markov_Chain.pdf ├── White_2020_01_01_Markov_Chain_Monte_Carlo_03_Metropolis_Hastings_Sampling.pdf ├── White_2020_01_02_Markov_Chain_Monte_Carlo_04_Gibbs_Sampling.pdf ├── White_2020_01_03_Markov_Chain_Monte_Carlo_05_Sampling.pdf ├── White_2020_01_04_Markov_Chain_Monte_Carlo_06_Method_of_MCMC.pdf ├── White_2020_01_07_Hidden_Markov_Model_01_Background.pdf ├── White_2020_01_08_Hidden_Markov_Model_02_Evaluation.pdf ├── White_2020_01_09_Hidden_Markov_Model_03_Learning.pdf ├── White_2020_01_10_Hidden_Markov_Model_04_Decoding.pdf ├── White_2020_01_11_Hidden_Markov_Model_05_Conclusion.pdf ├── White_2020_01_16_Kalman_Filter_01_Introduction.pdf ├── White_2020_01_17_Kalman_Filter_02_Model_Construction_and_Solution.pdf ├── White_2020_02_09_Pacticle_Filter.pdf ├── White_2020_02_21_Conditional_Random_Field.pdf ├── White_2020_02_26_Gaussian_Network.pdf ├── White_2020_02_28_Restricted_Boltzmann_Machine.pdf ├── White_2020_03_03_Spectral_Clustering.pdf ├── White_2020_03_06_Confronting_Partition_Function.pdf ├── White_2020_03_14_Approximate_Inference.pdf ├── White_2020_03_17_Sigmoid_Belief_Network.pdf ├── White_2020_04_01_Deep_Belief_Network.pdf ├── White_2020_04_08_Boltzmann_Machine.pdf ├── White_2020_05_21_Deep_Boltzmann_Machine.pdf ├── White_2020_05_25_Generative_Model.pdf ├── White_2020_06_06_Generative_Adversarial_Network.pdf ├── White_2020_06_26_Variational_AutoEncoder.pdf ├── White_2020_06_27_Flow_Model.pdf ├── White_2020_07_16_Reinforcement_Learning_Markov_Decision_Process.pdf ├── White_2020_07_20_Reinforcement_Learning_Dynamic_Programming.pdf └── white source ├── White_2019_10_12 Linear_Regression_01.zip ├── White_2019_10_14 Linear_Regression_02.zip ├── White_2019_10_18 Math_Basis_01.zip ├── White_2019_10_19 Math_Basis_02.zip ├── White_2019_10_20 Math_Basis_03.zip ├── White_2019_10_21 Math_Basis_04.zip ├── White_2019_10_22 Exponential_Family_Distribution_01.zip ├── White_2019_10_23 Exponential_Family_Distribution_02.zip ├── White_2019_10_24 Exponential_Family_Distribution_03.zip ├── White_2019_10_26 Exponential_Family_Distribution_04.zip ├── White_2019_10_29 Linear_Classification_01.zip ├── White_2019_10_30 Linear_Classification_02.zip ├── White_2019_10_31 Linear_Classification_03.zip ├── White_2019_11_01 Linear_Classfication_04.zip ├── White_2019_11_03 Linear_Classification_05.zip ├── White_2019_11_04 Linear_Classification_06.zip ├── White_2019_11_05 Bayes_Linear_Classification_01 Background.zip ├── White_2019_11_06 Bayes_Linear_Classification_02 Inference.zip ├── White_2019_11_07 Bayes_Linear_Classification_03 Prediction & Conclusion.zip ├── White_2019_11_10 Feedforward_Neural_Network_01 Background.zip ├── White_2019_11_11 Feedforward_Neural_Network_02 Development.zip ├── White_2019_11_12 Feedforward_Neural_Network_03 Non-Linear_Problem.zip ├── White_2019_11_13 Support_Vector_Machine_01 Hard_Margin_Modeling_and_Solution.zip ├── White_2019_11_15 Support_Vector_Machine_02 Soft_Margin.zip ├── White_2019_11_16 Support_Vector_Machine_03 Weak_Duality_Proof.zip ├── White_2019_11_17 Support_Vector_Machine_04 Weak_Duality_Geometric_Interpretation.zip ├── White_2019_11_18 Support_Vector_Machine_05 Slate_and_KKT_Condition.zip ├── White_2019_11_20 Kernel_Method_01 Background.zip ├── White_2019_11_21 Kernel_Method_02 The_Definition_of_Positive_Kernel_Function.zip ├── White_2019_11_22 Kernel_Method_03 Necessary_and_Sufficient_Conditions.zip ├── White_2019_11_23 Probability_Graph_01 Background.zip ├── White_2019_11_24 Probability_Graph_02 Bayesian_Network.zip ├── White_2019_11_25 Probability_Graph_03 D-Separation.zip ├── White_2019_11_26 Probability_Graph_04 Example.zip ├── White_2019_11_27 Probability_Graph_05 Markov_Network.zip ├── White_2019_11_28 Probability_Graph_06 Inference_Background.zip ├── White_2019_11_30 Variational_Inference_01 Background.zip ├── White_2019_11_30 Variational_Inference_02 Algorithm.zip ├── White_2019_12_01 Variational_Inference_03 Algorithm_Solution.zip ├── White_2019_12_01 Variational_Inference_04 Stochastic_Gradient_Variational_Inference.zip ├── White_2019_12_07 Probability_Graph_07 Variable_Elimination.zip ├── White_2019_12_08 Probability_Graph_08 Belief_Propagation.zip ├── White_2019_12_10 Probability_Graph_09 Max_Product_Algorithm.zip ├── White_2019_12_11_Probability_Graph_10 Moral_and_Factor_Graph.zip ├── White_2019_12_13_Guassian_Process_01 Introduction.zip ├── White_2019_12_14_Gaussian_Process_02 Weight_Space.zip ├── White_2019_12_15_Gaussian_Process_03 Function_View.zip ├── White_2019_12_17_Expectation_Maximization_01 Algorithm_Convergence.zip ├── White_2019_12_18_Expectation_Maximization_02 Derived_Formula.zip ├── White_2019_12_19_Expectation_Maximization_03 Generalized_Expectation_Maximization.zip ├── White_2019_12_23_Gaussian_Mixture_Model_01 Model_Introduction.zip ├── White_2019_12_24_Gaussian_Mixture_Model_02 Maximum_Likelihood_Estimation.zip ├── White_2019_12_25_Gaussian_Mixture_Model_03 Expectation_Maximization.zip ├── White_2019_12_30_Markov_Chain_Monte_Carlo_01 Sampling_Method.zip ├── White_2019_12_31_Markov_Chain_Monte_Carlo_02 Markov_Chain.zip ├── White_2020_01_01_Markov_Chain_Monte_Carlo_03 Metropolis_Hastings_Sampling.zip ├── White_2020_01_02_Markov_Chain_Monte_Carlo_04 Gibbs_Sampling.zip ├── White_2020_01_03_Markov_Chain_Monte_Carlo_05 Sampling.zip ├── White_2020_01_04_Markov_Chain_Monte_Carlo_06 Method_of_MCMC.zip ├── White_2020_01_07_Hidden_Markov_Model_01 Background.zip ├── White_2020_01_08_Hidden_Markov_Model_02 Evaluation.zip ├── White_2020_01_09_Hidden_Markov_Model_03 Learning.zip ├── White_2020_01_10_Hidden_Markov_Model_04 Decoding.zip ├── White_2020_01_11_Hidden_Markov_Model_05 Conclusion.zip ├── White_2020_01_16_Kalman_Filter_01 Introduction.zip ├── White_2020_01_17_Kalman_Filter_02 Model_Construction_and_Solution.zip ├── White_2020_02_09_Pacticle_Filter.zip ├── White_2020_02_20_Conditional_Random_Field_01 Background.zip ├── White_2020_02_21_Conditional_Random_Field.zip ├── White_2020_02_26_Gaussian_Network.zip ├── White_2020_02_28_Restricted_Boltzmann_Machine.zip ├── White_2020_03_03_Spectral_Clustering.zip ├── White_2020_03_06_Confronting_Partition_Function.zip ├── White_2020_03_14_Approximate_Inference.zip ├── White_2020_03_17_Sigmoid_Belief_Network.zip ├── White_2020_04_01_Deep_Belief_Network.zip ├── White_2020_04_08_Boltzmann_Machine.zip ├── White_2020_05_21_Deep_Boltzmann_Machine.zip ├── White_2020_05_25_Generative_Model.zip ├── White_2020_06_06_Generative_Adversarial_Network.zip ├── White_2020_06_26_Variational_AutoEncoder.zip ├── White_2020_06_27_Flow_Model.zip ├── White_2020_07_16 Reinforcement_Learning_Markov_Decision_Process.zip └── White_2020_07_20 Reinforcement_Learning_Dynamic_Programming.zip /README.md: -------------------------------------------------------------------------------- 1 | 有一些小伙伴想要源码，我就放上来了，可能有一些笔误，发现问题大家可以提pull request请求，也可以作为大家笔记的基础框架自行修改。希望可以帮助到大家！麻烦记得star！！！ 2 | --- 3 | # Machine-Learning-Notes 4 | 白板推导系列课程笔记 初版 5 | 6 | 本课程是来自： https://www.bilibili.com/video/av70839977?from=search&seid=17607290845262629055 目前，是初版的笔记，比较的乱，等全部写完，我会再做处理。各位从知乎上看到链接过来的，取完以后您可以在知乎上留个赞，就更好了。之后我会继续更新，直到写完这个系列为止。谢谢各位了，包括的章节为： 7 | 8 | 01 白板推导 线性回归 9 | 10 | 02 白板推导 数学基础 11 | 12 | 03 白板推导 指数族分布 13 | 14 | 04 白板推导 线性分类 15 | 16 | 05 白板推导 贝叶斯线性回归 17 | 18 | 06 白板推导 前馈神经网络 19 | 20 | 07 白板推导 支持向量机 21 | 22 | 08 白板推导 核方法 23 | 24 | 09 白板推导 变分推断 25 | 26 | 10 白板推导 概率图模型 27 | 28 | 11 白板推导 高斯过程 29 | 30 | 12 白板推导 EM算法 31 | 32 | 13 白板推导 高斯混合模型 33 | 34 | 14 白板推导 马尔可夫链蒙特卡罗采样 35 | 36 | 15 白板推导 隐马尔可夫模型 37 | 38 | 16 白板推导 卡曼滤波 39 | 40 | 17 白板推导 粒子滤波 41 | 42 | 18 白板推导 条件随机场 43 | 44 | 19 白板推导 高斯网络 45 | 46 | 20 白板推导 受限玻尔兹曼机 47 | 48 | 21 白板推导 谱聚类 49 | 50 | 22 白板推导 直面配分函数 51 | 52 | 23 白板推导 近似推断 53 | 54 | 24 白板推导 Sigmoid信念网络 55 | 56 | 25 白板推导 深度信念网络 57 | 58 | 26 白板推导 玻尔兹曼机 59 | 60 | 27 白板推导 深度玻尔兹曼机 61 | 62 | 28 白板推导 生成模型 63 | 64 | 29 白板推导 生成对抗网络 65 | 66 | 30 白板推导 变分自编码器 67 | 68 | 31 白板推导 流模型 69 | 70 | 32 白板推导 强化学习马尔可夫决策过程 71 | 72 | 33 白板推导 强化学习动态规划 73 | -------------------------------------------------------------------------------- /White_2019_10_12_Linear_Regression_01.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_10_12_Linear_Regression_01.pdf -------------------------------------------------------------------------------- /White_2019_10_14_Linear_Regression_02.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_10_14_Linear_Regression_02.pdf -------------------------------------------------------------------------------- /White_2019_10_18_Math_Basis_01.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_10_18_Math_Basis_01.pdf -------------------------------------------------------------------------------- /White_2019_10_19_Math_Basis_02.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_10_19_Math_Basis_02.pdf -------------------------------------------------------------------------------- /White_2019_10_20_Math_Basis_03.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_10_20_Math_Basis_03.pdf -------------------------------------------------------------------------------- /White_2019_10_21_Math_Basis_04.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_10_21_Math_Basis_04.pdf -------------------------------------------------------------------------------- /White_2019_10_22_Exponential_Family_Distribution_01.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_10_22_Exponential_Family_Distribution_01.pdf -------------------------------------------------------------------------------- /White_2019_10_23_Exponential_Family_Distribution_02.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_10_23_Exponential_Family_Distribution_02.pdf -------------------------------------------------------------------------------- /White_2019_10_24_Exponential_Family_Distribution_03.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_10_24_Exponential_Family_Distribution_03.pdf -------------------------------------------------------------------------------- /White_2019_10_26_Exponential_Family_Distribution_04.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_10_26_Exponential_Family_Distribution_04.pdf -------------------------------------------------------------------------------- /White_2019_10_29_Linear_Classification_01.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_10_29_Linear_Classification_01.pdf -------------------------------------------------------------------------------- /White_2019_10_30_Linear_Classification_02.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_10_30_Linear_Classification_02.pdf -------------------------------------------------------------------------------- /White_2019_10_31_Linear_Classification_03.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_10_31_Linear_Classification_03.pdf -------------------------------------------------------------------------------- /White_2019_11_01_Linear_Classification_04.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_01_Linear_Classification_04.pdf -------------------------------------------------------------------------------- /White_2019_11_01_Linear_Classification_05_Discriminate_Generate.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_01_Linear_Classification_05_Discriminate_Generate.pdf -------------------------------------------------------------------------------- /White_2019_11_04_Linear_Classification_06.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_04_Linear_Classification_06.pdf -------------------------------------------------------------------------------- /White_2019_11_05_Bayes_Linear_Classification_01_Background.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_05_Bayes_Linear_Classification_01_Background.pdf -------------------------------------------------------------------------------- /White_2019_11_06_Bayes_Linear_Classification_02_Inference.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_06_Bayes_Linear_Classification_02_Inference.pdf -------------------------------------------------------------------------------- /White_2019_11_07_Bayes_Linear_Classification_03_Prediction___Conclusion.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_07_Bayes_Linear_Classification_03_Prediction___Conclusion.pdf -------------------------------------------------------------------------------- /White_2019_11_10_Feedforward_Neural_Network_01_Background.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_10_Feedforward_Neural_Network_01_Background.pdf -------------------------------------------------------------------------------- /White_2019_11_11_Feedforward_Neural_Network_02_Development.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_11_Feedforward_Neural_Network_02_Development.pdf -------------------------------------------------------------------------------- /White_2019_11_12_Feedforward_Neural_Network_03_Non_Linear_Problem.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_12_Feedforward_Neural_Network_03_Non_Linear_Problem.pdf -------------------------------------------------------------------------------- /White_2019_11_13_Support_Vector_Machine_01_Hard_Margin_Modeling_and_Solution.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_13_Support_Vector_Machine_01_Hard_Margin_Modeling_and_Solution.pdf -------------------------------------------------------------------------------- /White_2019_11_15_Support_Vector_Machine_02_Soft_Margin.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_15_Support_Vector_Machine_02_Soft_Margin.pdf -------------------------------------------------------------------------------- /White_2019_11_16_Support_Vector_Machine_03_Weak_Duality_Proof (1).pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_16_Support_Vector_Machine_03_Weak_Duality_Proof (1).pdf -------------------------------------------------------------------------------- /White_2019_11_17_Support_Vector_Machine_04_Weak_Duality_Geometric_Interpretation.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_17_Support_Vector_Machine_04_Weak_Duality_Geometric_Interpretation.pdf -------------------------------------------------------------------------------- /White_2019_11_18_Support_Vector_Machine_05_Slate_and_KKT_Condition.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_18_Support_Vector_Machine_05_Slate_and_KKT_Condition.pdf -------------------------------------------------------------------------------- /White_2019_11_20_Kernel_Method_01_Background.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_20_Kernel_Method_01_Background.pdf -------------------------------------------------------------------------------- /White_2019_11_21_Kernel_Method_02_The_Definition_of_Positive_Kernel_Function.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_21_Kernel_Method_02_The_Definition_of_Positive_Kernel_Function.pdf -------------------------------------------------------------------------------- /White_2019_11_22_Kernel_Method_03_Necessary_and_Sufficient_Conditions.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_22_Kernel_Method_03_Necessary_and_Sufficient_Conditions.pdf -------------------------------------------------------------------------------- /White_2019_11_23_Probability_Graph_01_Background.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_23_Probability_Graph_01_Background.pdf -------------------------------------------------------------------------------- /White_2019_11_24_Probability_Graph_02_Bayesian_Network.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_24_Probability_Graph_02_Bayesian_Network.pdf -------------------------------------------------------------------------------- /White_2019_11_25_Probability_Graph_03_D_Separation.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_25_Probability_Graph_03_D_Separation.pdf -------------------------------------------------------------------------------- /White_2019_11_26_Probability_Graph_04_Example.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_26_Probability_Graph_04_Example.pdf -------------------------------------------------------------------------------- /White_2019_11_27_Probability_Graph_05_Markov_Network.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_27_Probability_Graph_05_Markov_Network.pdf -------------------------------------------------------------------------------- /White_2019_11_28_Probability_Graph_06_Inference_Background.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_28_Probability_Graph_06_Inference_Background.pdf -------------------------------------------------------------------------------- /White_2019_11_30_Variational_Inference_01_Background.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_30_Variational_Inference_01_Background.pdf -------------------------------------------------------------------------------- /White_2019_11_30_Variational_Inference_02_Algorithm.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_11_30_Variational_Inference_02_Algorithm.pdf -------------------------------------------------------------------------------- /White_2019_12_01_Variational_Inference_03_Algorithm_Solution.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_01_Variational_Inference_03_Algorithm_Solution.pdf -------------------------------------------------------------------------------- /White_2019_12_01_Variational_Inference_04_Stochastic_Gradient_Variational_Inference.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_01_Variational_Inference_04_Stochastic_Gradient_Variational_Inference.pdf -------------------------------------------------------------------------------- /White_2019_12_07_Probability_Graph_07_Variable_Elimination.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_07_Probability_Graph_07_Variable_Elimination.pdf -------------------------------------------------------------------------------- /White_2019_12_08_Probability_Graph_08_Belief_Propagation.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_08_Probability_Graph_08_Belief_Propagation.pdf -------------------------------------------------------------------------------- /White_2019_12_10_Probability_Graph_09_Max_Product_Algorithm.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_10_Probability_Graph_09_Max_Product_Algorithm.pdf -------------------------------------------------------------------------------- /White_2019_12_11_Probability_Graph_10_Moral_and_Factor_Graph.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_11_Probability_Graph_10_Moral_and_Factor_Graph.pdf -------------------------------------------------------------------------------- /White_2019_12_13_Guassian_Process_01_Introduction.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_13_Guassian_Process_01_Introduction.pdf -------------------------------------------------------------------------------- /White_2019_12_14_Gaussian_Process_02_Weight_Space.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_14_Gaussian_Process_02_Weight_Space.pdf -------------------------------------------------------------------------------- /White_2019_12_15_Gaussian_Process_03_Function_View.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_15_Gaussian_Process_03_Function_View.pdf -------------------------------------------------------------------------------- /White_2019_12_17_Expectation_Maximization_01_Algorithm_Convergence.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_17_Expectation_Maximization_01_Algorithm_Convergence.pdf -------------------------------------------------------------------------------- /White_2019_12_18_Expectation_Maximization_02_Derived_Formula.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_18_Expectation_Maximization_02_Derived_Formula.pdf -------------------------------------------------------------------------------- /White_2019_12_19_Expectation_Maximization_03__Generalized_Expectation_Maximization.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_19_Expectation_Maximization_03__Generalized_Expectation_Maximization.pdf -------------------------------------------------------------------------------- /White_2019_12_23_Gaussian_Mixture_Model_01_Model_Introduction.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_23_Gaussian_Mixture_Model_01_Model_Introduction.pdf -------------------------------------------------------------------------------- /White_2019_12_24_Gaussian_Mixture_Model_02_Maximum_Likelihood_Estimation.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_24_Gaussian_Mixture_Model_02_Maximum_Likelihood_Estimation.pdf -------------------------------------------------------------------------------- /White_2019_12_25_Gaussian_Mixture_Model_03_Expectation_Maximization.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_25_Gaussian_Mixture_Model_03_Expectation_Maximization.pdf -------------------------------------------------------------------------------- /White_2019_12_30_Markov_Chain_Monte_Carlo_01_Sampling_Method.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_30_Markov_Chain_Monte_Carlo_01_Sampling_Method.pdf -------------------------------------------------------------------------------- /White_2019_12_31_Markov_Chain_Monte_Carlo_02_Markov_Chain.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2019_12_31_Markov_Chain_Monte_Carlo_02_Markov_Chain.pdf -------------------------------------------------------------------------------- /White_2020_01_01_Markov_Chain_Monte_Carlo_03_Metropolis_Hastings_Sampling.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_01_01_Markov_Chain_Monte_Carlo_03_Metropolis_Hastings_Sampling.pdf -------------------------------------------------------------------------------- /White_2020_01_02_Markov_Chain_Monte_Carlo_04_Gibbs_Sampling.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_01_02_Markov_Chain_Monte_Carlo_04_Gibbs_Sampling.pdf -------------------------------------------------------------------------------- /White_2020_01_03_Markov_Chain_Monte_Carlo_05_Sampling.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_01_03_Markov_Chain_Monte_Carlo_05_Sampling.pdf -------------------------------------------------------------------------------- /White_2020_01_04_Markov_Chain_Monte_Carlo_06_Method_of_MCMC.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_01_04_Markov_Chain_Monte_Carlo_06_Method_of_MCMC.pdf -------------------------------------------------------------------------------- /White_2020_01_07_Hidden_Markov_Model_01_Background.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_01_07_Hidden_Markov_Model_01_Background.pdf -------------------------------------------------------------------------------- /White_2020_01_08_Hidden_Markov_Model_02_Evaluation.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_01_08_Hidden_Markov_Model_02_Evaluation.pdf -------------------------------------------------------------------------------- /White_2020_01_09_Hidden_Markov_Model_03_Learning.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_01_09_Hidden_Markov_Model_03_Learning.pdf -------------------------------------------------------------------------------- /White_2020_01_10_Hidden_Markov_Model_04_Decoding.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_01_10_Hidden_Markov_Model_04_Decoding.pdf -------------------------------------------------------------------------------- /White_2020_01_11_Hidden_Markov_Model_05_Conclusion.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_01_11_Hidden_Markov_Model_05_Conclusion.pdf -------------------------------------------------------------------------------- /White_2020_01_16_Kalman_Filter_01_Introduction.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_01_16_Kalman_Filter_01_Introduction.pdf -------------------------------------------------------------------------------- /White_2020_01_17_Kalman_Filter_02_Model_Construction_and_Solution.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_01_17_Kalman_Filter_02_Model_Construction_and_Solution.pdf -------------------------------------------------------------------------------- /White_2020_02_09_Pacticle_Filter.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_02_09_Pacticle_Filter.pdf -------------------------------------------------------------------------------- /White_2020_02_21_Conditional_Random_Field.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_02_21_Conditional_Random_Field.pdf -------------------------------------------------------------------------------- /White_2020_02_26_Gaussian_Network.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_02_26_Gaussian_Network.pdf -------------------------------------------------------------------------------- /White_2020_02_28_Restricted_Boltzmann_Machine.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_02_28_Restricted_Boltzmann_Machine.pdf -------------------------------------------------------------------------------- /White_2020_03_03_Spectral_Clustering.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_03_03_Spectral_Clustering.pdf -------------------------------------------------------------------------------- /White_2020_03_06_Confronting_Partition_Function.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_03_06_Confronting_Partition_Function.pdf -------------------------------------------------------------------------------- /White_2020_03_14_Approximate_Inference.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_03_14_Approximate_Inference.pdf -------------------------------------------------------------------------------- /White_2020_03_17_Sigmoid_Belief_Network.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_03_17_Sigmoid_Belief_Network.pdf -------------------------------------------------------------------------------- /White_2020_04_01_Deep_Belief_Network.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_04_01_Deep_Belief_Network.pdf -------------------------------------------------------------------------------- /White_2020_04_08_Boltzmann_Machine.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_04_08_Boltzmann_Machine.pdf -------------------------------------------------------------------------------- /White_2020_05_21_Deep_Boltzmann_Machine.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_05_21_Deep_Boltzmann_Machine.pdf -------------------------------------------------------------------------------- /White_2020_05_25_Generative_Model.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_05_25_Generative_Model.pdf -------------------------------------------------------------------------------- /White_2020_06_06_Generative_Adversarial_Network.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_06_06_Generative_Adversarial_Network.pdf -------------------------------------------------------------------------------- /White_2020_06_26_Variational_AutoEncoder.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_06_26_Variational_AutoEncoder.pdf -------------------------------------------------------------------------------- /White_2020_06_27_Flow_Model.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_06_27_Flow_Model.pdf -------------------------------------------------------------------------------- /White_2020_07_16_Reinforcement_Learning_Markov_Decision_Process.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_07_16_Reinforcement_Learning_Markov_Decision_Process.pdf -------------------------------------------------------------------------------- /White_2020_07_20_Reinforcement_Learning_Dynamic_Programming.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/White_2020_07_20_Reinforcement_Learning_Dynamic_Programming.pdf -------------------------------------------------------------------------------- /white source/White_2019_10_12 Linear_Regression_01.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_10_12 Linear_Regression_01.zip -------------------------------------------------------------------------------- /white source/White_2019_10_14 Linear_Regression_02.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_10_14 Linear_Regression_02.zip -------------------------------------------------------------------------------- /white source/White_2019_10_18 Math_Basis_01.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_10_18 Math_Basis_01.zip -------------------------------------------------------------------------------- /white source/White_2019_10_19 Math_Basis_02.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_10_19 Math_Basis_02.zip -------------------------------------------------------------------------------- /white source/White_2019_10_20 Math_Basis_03.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_10_20 Math_Basis_03.zip -------------------------------------------------------------------------------- /white source/White_2019_10_21 Math_Basis_04.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_10_21 Math_Basis_04.zip -------------------------------------------------------------------------------- /white source/White_2019_10_22 Exponential_Family_Distribution_01.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_10_22 Exponential_Family_Distribution_01.zip -------------------------------------------------------------------------------- /white source/White_2019_10_23 Exponential_Family_Distribution_02.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_10_23 Exponential_Family_Distribution_02.zip -------------------------------------------------------------------------------- /white source/White_2019_10_24 Exponential_Family_Distribution_03.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_10_24 Exponential_Family_Distribution_03.zip -------------------------------------------------------------------------------- /white source/White_2019_10_26 Exponential_Family_Distribution_04.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_10_26 Exponential_Family_Distribution_04.zip -------------------------------------------------------------------------------- /white source/White_2019_10_29 Linear_Classification_01.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_10_29 Linear_Classification_01.zip -------------------------------------------------------------------------------- /white source/White_2019_10_30 Linear_Classification_02.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_10_30 Linear_Classification_02.zip -------------------------------------------------------------------------------- /white source/White_2019_10_31 Linear_Classification_03.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_10_31 Linear_Classification_03.zip -------------------------------------------------------------------------------- /white source/White_2019_11_01 Linear_Classfication_04.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_01 Linear_Classfication_04.zip -------------------------------------------------------------------------------- /white source/White_2019_11_03 Linear_Classification_05.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_03 Linear_Classification_05.zip -------------------------------------------------------------------------------- /white source/White_2019_11_04 Linear_Classification_06.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_04 Linear_Classification_06.zip -------------------------------------------------------------------------------- /white source/White_2019_11_05 Bayes_Linear_Classification_01 Background.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_05 Bayes_Linear_Classification_01 Background.zip -------------------------------------------------------------------------------- /white source/White_2019_11_06 Bayes_Linear_Classification_02 Inference.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_06 Bayes_Linear_Classification_02 Inference.zip -------------------------------------------------------------------------------- /white source/White_2019_11_07 Bayes_Linear_Classification_03 Prediction & Conclusion.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_07 Bayes_Linear_Classification_03 Prediction & Conclusion.zip -------------------------------------------------------------------------------- /white source/White_2019_11_10 Feedforward_Neural_Network_01 Background.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_10 Feedforward_Neural_Network_01 Background.zip -------------------------------------------------------------------------------- /white source/White_2019_11_11 Feedforward_Neural_Network_02 Development.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_11 Feedforward_Neural_Network_02 Development.zip -------------------------------------------------------------------------------- /white source/White_2019_11_12 Feedforward_Neural_Network_03 Non-Linear_Problem.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_12 Feedforward_Neural_Network_03 Non-Linear_Problem.zip -------------------------------------------------------------------------------- /white source/White_2019_11_13 Support_Vector_Machine_01 Hard_Margin_Modeling_and_Solution.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_13 Support_Vector_Machine_01 Hard_Margin_Modeling_and_Solution.zip -------------------------------------------------------------------------------- /white source/White_2019_11_15 Support_Vector_Machine_02 Soft_Margin.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_15 Support_Vector_Machine_02 Soft_Margin.zip -------------------------------------------------------------------------------- /white source/White_2019_11_16 Support_Vector_Machine_03 Weak_Duality_Proof.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_16 Support_Vector_Machine_03 Weak_Duality_Proof.zip -------------------------------------------------------------------------------- /white source/White_2019_11_17 Support_Vector_Machine_04 Weak_Duality_Geometric_Interpretation.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_17 Support_Vector_Machine_04 Weak_Duality_Geometric_Interpretation.zip -------------------------------------------------------------------------------- /white source/White_2019_11_18 Support_Vector_Machine_05 Slate_and_KKT_Condition.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_18 Support_Vector_Machine_05 Slate_and_KKT_Condition.zip -------------------------------------------------------------------------------- /white source/White_2019_11_20 Kernel_Method_01 Background.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_20 Kernel_Method_01 Background.zip -------------------------------------------------------------------------------- /white source/White_2019_11_21 Kernel_Method_02 The_Definition_of_Positive_Kernel_Function.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_21 Kernel_Method_02 The_Definition_of_Positive_Kernel_Function.zip -------------------------------------------------------------------------------- /white source/White_2019_11_22 Kernel_Method_03 Necessary_and_Sufficient_Conditions.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_22 Kernel_Method_03 Necessary_and_Sufficient_Conditions.zip -------------------------------------------------------------------------------- /white source/White_2019_11_23 Probability_Graph_01 Background.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_23 Probability_Graph_01 Background.zip -------------------------------------------------------------------------------- /white source/White_2019_11_24 Probability_Graph_02 Bayesian_Network.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_24 Probability_Graph_02 Bayesian_Network.zip -------------------------------------------------------------------------------- /white source/White_2019_11_25 Probability_Graph_03 D-Separation.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_25 Probability_Graph_03 D-Separation.zip -------------------------------------------------------------------------------- /white source/White_2019_11_26 Probability_Graph_04 Example.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_26 Probability_Graph_04 Example.zip -------------------------------------------------------------------------------- /white source/White_2019_11_27 Probability_Graph_05 Markov_Network.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_27 Probability_Graph_05 Markov_Network.zip -------------------------------------------------------------------------------- /white source/White_2019_11_28 Probability_Graph_06 Inference_Background.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_28 Probability_Graph_06 Inference_Background.zip -------------------------------------------------------------------------------- /white source/White_2019_11_30 Variational_Inference_01 Background.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_30 Variational_Inference_01 Background.zip -------------------------------------------------------------------------------- /white source/White_2019_11_30 Variational_Inference_02 Algorithm.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_11_30 Variational_Inference_02 Algorithm.zip -------------------------------------------------------------------------------- /white source/White_2019_12_01 Variational_Inference_03 Algorithm_Solution.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_01 Variational_Inference_03 Algorithm_Solution.zip -------------------------------------------------------------------------------- /white source/White_2019_12_01 Variational_Inference_04 Stochastic_Gradient_Variational_Inference.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_01 Variational_Inference_04 Stochastic_Gradient_Variational_Inference.zip -------------------------------------------------------------------------------- /white source/White_2019_12_07 Probability_Graph_07 Variable_Elimination.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_07 Probability_Graph_07 Variable_Elimination.zip -------------------------------------------------------------------------------- /white source/White_2019_12_08 Probability_Graph_08 Belief_Propagation.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_08 Probability_Graph_08 Belief_Propagation.zip -------------------------------------------------------------------------------- /white source/White_2019_12_10 Probability_Graph_09 Max_Product_Algorithm.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_10 Probability_Graph_09 Max_Product_Algorithm.zip -------------------------------------------------------------------------------- /white source/White_2019_12_11_Probability_Graph_10 Moral_and_Factor_Graph.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_11_Probability_Graph_10 Moral_and_Factor_Graph.zip -------------------------------------------------------------------------------- /white source/White_2019_12_13_Guassian_Process_01 Introduction.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_13_Guassian_Process_01 Introduction.zip -------------------------------------------------------------------------------- /white source/White_2019_12_14_Gaussian_Process_02 Weight_Space.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_14_Gaussian_Process_02 Weight_Space.zip -------------------------------------------------------------------------------- /white source/White_2019_12_15_Gaussian_Process_03 Function_View.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_15_Gaussian_Process_03 Function_View.zip -------------------------------------------------------------------------------- /white source/White_2019_12_17_Expectation_Maximization_01 Algorithm_Convergence.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_17_Expectation_Maximization_01 Algorithm_Convergence.zip -------------------------------------------------------------------------------- /white source/White_2019_12_18_Expectation_Maximization_02 Derived_Formula.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_18_Expectation_Maximization_02 Derived_Formula.zip -------------------------------------------------------------------------------- /white source/White_2019_12_19_Expectation_Maximization_03 Generalized_Expectation_Maximization.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_19_Expectation_Maximization_03 Generalized_Expectation_Maximization.zip -------------------------------------------------------------------------------- /white source/White_2019_12_23_Gaussian_Mixture_Model_01 Model_Introduction.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_23_Gaussian_Mixture_Model_01 Model_Introduction.zip -------------------------------------------------------------------------------- /white source/White_2019_12_24_Gaussian_Mixture_Model_02 Maximum_Likelihood_Estimation.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_24_Gaussian_Mixture_Model_02 Maximum_Likelihood_Estimation.zip -------------------------------------------------------------------------------- /white source/White_2019_12_25_Gaussian_Mixture_Model_03 Expectation_Maximization.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_25_Gaussian_Mixture_Model_03 Expectation_Maximization.zip -------------------------------------------------------------------------------- /white source/White_2019_12_30_Markov_Chain_Monte_Carlo_01 Sampling_Method.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_30_Markov_Chain_Monte_Carlo_01 Sampling_Method.zip -------------------------------------------------------------------------------- /white source/White_2019_12_31_Markov_Chain_Monte_Carlo_02 Markov_Chain.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2019_12_31_Markov_Chain_Monte_Carlo_02 Markov_Chain.zip -------------------------------------------------------------------------------- /white source/White_2020_01_01_Markov_Chain_Monte_Carlo_03 Metropolis_Hastings_Sampling.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_01_01_Markov_Chain_Monte_Carlo_03 Metropolis_Hastings_Sampling.zip -------------------------------------------------------------------------------- /white source/White_2020_01_02_Markov_Chain_Monte_Carlo_04 Gibbs_Sampling.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_01_02_Markov_Chain_Monte_Carlo_04 Gibbs_Sampling.zip -------------------------------------------------------------------------------- /white source/White_2020_01_03_Markov_Chain_Monte_Carlo_05 Sampling.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_01_03_Markov_Chain_Monte_Carlo_05 Sampling.zip -------------------------------------------------------------------------------- /white source/White_2020_01_04_Markov_Chain_Monte_Carlo_06 Method_of_MCMC.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_01_04_Markov_Chain_Monte_Carlo_06 Method_of_MCMC.zip -------------------------------------------------------------------------------- /white source/White_2020_01_07_Hidden_Markov_Model_01 Background.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_01_07_Hidden_Markov_Model_01 Background.zip -------------------------------------------------------------------------------- /white source/White_2020_01_08_Hidden_Markov_Model_02 Evaluation.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_01_08_Hidden_Markov_Model_02 Evaluation.zip -------------------------------------------------------------------------------- /white source/White_2020_01_09_Hidden_Markov_Model_03 Learning.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_01_09_Hidden_Markov_Model_03 Learning.zip -------------------------------------------------------------------------------- /white source/White_2020_01_10_Hidden_Markov_Model_04 Decoding.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_01_10_Hidden_Markov_Model_04 Decoding.zip -------------------------------------------------------------------------------- /white source/White_2020_01_11_Hidden_Markov_Model_05 Conclusion.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_01_11_Hidden_Markov_Model_05 Conclusion.zip -------------------------------------------------------------------------------- /white source/White_2020_01_16_Kalman_Filter_01 Introduction.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_01_16_Kalman_Filter_01 Introduction.zip -------------------------------------------------------------------------------- /white source/White_2020_01_17_Kalman_Filter_02 Model_Construction_and_Solution.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_01_17_Kalman_Filter_02 Model_Construction_and_Solution.zip -------------------------------------------------------------------------------- /white source/White_2020_02_09_Pacticle_Filter.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_02_09_Pacticle_Filter.zip -------------------------------------------------------------------------------- /white source/White_2020_02_20_Conditional_Random_Field_01 Background.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_02_20_Conditional_Random_Field_01 Background.zip -------------------------------------------------------------------------------- /white source/White_2020_02_21_Conditional_Random_Field.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_02_21_Conditional_Random_Field.zip -------------------------------------------------------------------------------- /white source/White_2020_02_26_Gaussian_Network.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_02_26_Gaussian_Network.zip -------------------------------------------------------------------------------- /white source/White_2020_02_28_Restricted_Boltzmann_Machine.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_02_28_Restricted_Boltzmann_Machine.zip -------------------------------------------------------------------------------- /white source/White_2020_03_03_Spectral_Clustering.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_03_03_Spectral_Clustering.zip -------------------------------------------------------------------------------- /white source/White_2020_03_06_Confronting_Partition_Function.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_03_06_Confronting_Partition_Function.zip -------------------------------------------------------------------------------- /white source/White_2020_03_14_Approximate_Inference.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_03_14_Approximate_Inference.zip -------------------------------------------------------------------------------- /white source/White_2020_03_17_Sigmoid_Belief_Network.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_03_17_Sigmoid_Belief_Network.zip -------------------------------------------------------------------------------- /white source/White_2020_04_01_Deep_Belief_Network.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_04_01_Deep_Belief_Network.zip -------------------------------------------------------------------------------- /white source/White_2020_04_08_Boltzmann_Machine.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_04_08_Boltzmann_Machine.zip -------------------------------------------------------------------------------- /white source/White_2020_05_21_Deep_Boltzmann_Machine.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_05_21_Deep_Boltzmann_Machine.zip -------------------------------------------------------------------------------- /white source/White_2020_05_25_Generative_Model.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_05_25_Generative_Model.zip -------------------------------------------------------------------------------- /white source/White_2020_06_06_Generative_Adversarial_Network.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_06_06_Generative_Adversarial_Network.zip -------------------------------------------------------------------------------- /white source/White_2020_06_26_Variational_AutoEncoder.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_06_26_Variational_AutoEncoder.zip -------------------------------------------------------------------------------- /white source/White_2020_06_27_Flow_Model.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_06_27_Flow_Model.zip -------------------------------------------------------------------------------- /white source/White_2020_07_16 Reinforcement_Learning_Markov_Decision_Process.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_07_16 Reinforcement_Learning_Markov_Decision_Process.zip -------------------------------------------------------------------------------- /white source/White_2020_07_20 Reinforcement_Learning_Dynamic_Programming.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/2019ChenGong/Machine-Learning-Notes/64af71da44b1bd7c4bb123dcd0d7472173efc95d/white source/White_2020_07_20 Reinforcement_Learning_Dynamic_Programming.zip --------------------------------------------------------------------------------