36 Linear classification2
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11 - 1 - Linear Models for Binary Classification (21-35)
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35 Linear classification1
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25 spectral clustering
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40 SVM
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13 Jacobian
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12 - 3 - Price of Nonlinear Transform (15-37)
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31 Computational Methods1
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11 正定核性质
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26 K-means algorithm
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27 Matr-x Completion
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42 Boosting2
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9 - 1 - Linear Regression Problem (10-08)
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15 Wishart 分布
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6 - 4 - A Pictorial Proof (16-01)
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7 多项式分布
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15 - 2 - Validation (13-24)
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9 - 4 - Linear Regression for Binary Classification (11-23)
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20 MDS方法
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15 - 1 - Model Selection Problem (16-00)
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39 Support Vector Machines2
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37 Naive Bayes方法
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16 期望最大算法
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10 - 1 - Logistic Regression Problem (14-33)
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34 Stochastic Convergence-性质
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7 - 1 - Definition of VC Dimension (13-10)
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18 最大似然估计方法
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12 - 2 - Nonlinear Transform (09-52)
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06 连续分布
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32 Computational Methods2
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19 共轭先验性质
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10 - 3 - Gradient of Logistic Regression Error (15-38)
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9 - 3 - Generalization Issue (20-34)
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2 - 1 - Perceptron Hypothesis Set (15-42)
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7 - 4 - Interpreting VC Dimension (17-13)
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11 多元分布定义
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12 - 1 - Quadratic Hypothesis (23-47)
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17 概率PCA
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32 随机投影
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23 矩阵范数
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14 - 1 - Regularized Hypothesis Set (19-16)