12 - 3 - Price of Nonlinear Transform (15-37)
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12 - 2 - Nonlinear Transform (09-52)
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37 Naive Bayes方法
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9 - 4 - Linear Regression for Binary Classification (11-23)
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11 - 1 - Linear Models for Binary Classification (21-35)
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35 Linear classification1
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12 正定核应用
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2 - 3 - Guarantee of PLA (12-37)
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25 spectral clustering
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20 MDS方法
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29 谱聚类1
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14 主元分析
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李飞飞：斯坦福计算机视觉公开课
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36 Linear classification2
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6 条件期望
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15 - 4 - V-Fold Cross Validation (10-41)
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32 Computational Methods2
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15 Wishart 分布
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13 Jacobian
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15 - 2 - Validation (13-24)
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40 SVM
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6 - 2 - Bounding Function- Basic Cases (06-56)
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16 期望最大算法
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2 - 4 - Non-Separable Data (12-55)
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12 - 4 - Structured Hypothesis Sets (09-36)
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11 - 3 - Multiclass via Logistic Regression (14-18)
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15 主坐标分析
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10 核定义
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39 Support Vector Machines2
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27 Matr-x Completion
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1 基本概念
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13 - 4 - Dealing with Overfitting (10-49)
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5 - 2 - Effective Number of Lines (15-26)
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21 MDS中加点方法
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11 正定核性质
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10 - 4 - Gradient Descent (19-18)(1)
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9 - 2 - Linear Regression Algorithm (20-03)
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32 随机投影
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23 KL distance
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01 概率基础