22 矩阵次导数
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CMU《凸优化|CMU 10 725 Convex Optimization fall 2022, by Yuanzhi Li（仅找到17课）》中英字幕（豆包
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特等奖获得者《DNA的结构》全网最清晰的授课
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23 矩阵范数
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29 谱聚类1
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24 次导数
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1 基本概念
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18 矩阵元Beta分布
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05 高斯分布例子
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15 主坐标分析
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42 Boosting2
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8 - 4 - Weighted Classification (16-54)
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5 - 1 - Recap and Preview (13-44)
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13 Jacobian
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06 连续分布
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2 随机向量
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11 - 1 - Linear Models for Binary Classification (21-35)
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28 Fisher判别分析
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9 - 4 - Linear Regression for Binary Classification (11-23)
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7 多项式分布
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41 Boosting1
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16 - 1 - Occam-'s Razor (10-08)
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1 - 1 - Course Introduction (10-58)(1)
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32 Computational Methods2
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34 Stochastic Convergence-性质
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37 Naive Bayes方法
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32 随机投影
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7 - 1 - Definition of VC Dimension (13-10)
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19 EM算法收敛性
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03 随机变量2
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38 EM算法3
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12 - 4 - Structured Hypothesis Sets (09-36)
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9 - 3 - Generalization Issue (20-34)
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34 Kernel FDA
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01 概率基础
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14 - 2 - Weight Decay Regularization (24-08)
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04 高斯分布
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5 - 3 - Effective Number of Hypotheses (16-17)
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28 概率不等式2
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2 - 1 - Perceptron Hypothesis Set (15-42)
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17 概率PCA