13 Jacobian
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29 谱聚类1
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28 Fisher判别分析
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41 Boosting1
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14 主元分析
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37 Naive Bayes方法
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17 概率PCA
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13 核主元分析
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34 Kernel FDA
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14 - 2 - Weight Decay Regularization (24-08)
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40 SVM
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11 - 1 - Linear Models for Binary Classification (21-35)
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6 - 4 - A Pictorial Proof (16-01)
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14 - 4 - General Regularizers (13-28)
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12 正定核应用
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31 Computational Methods1
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15 Wishart 分布
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8 - 3 - Algorithmic Error Measure (13-46)
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1 基本概念
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13 - 3 - Deterministic Noise (14-07)
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8 - 4 - Weighted Classification (16-54)
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9 - 3 - Generalization Issue (20-34)
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41 Markov Chain Monte carlo2
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15 主坐标分析
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23 矩阵范数
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19 共轭先验性质
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13 - 1 - What is Overfitting- (10-45)
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27 Matr-x Completion
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7 - 4 - Interpreting VC Dimension (17-13)
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13 - 4 - Dealing with Overfitting (10-49)
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01 概率基础
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11 - 4 - Multiclass via Binary Classification (11-35)
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15 - 3 - Leave-One-Out Cross Validation (16-06)
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33 Fisher Discriminant Analysis
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10 - 4 - Gradient Descent (19-18)(1)
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31 概率不等式
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7 - 2 - VC Dimension of Perceptrons (13-27)
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1 - 1 - Course Introduction (10-58)(1)
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10 - 1 - Logistic Regression Problem (14-33)
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9 渐近性质
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11 - 3 - Multiclass via Logistic Regression (14-18)