林軒田(Hsuan-Tien Lin) - [機器學習基石]Machine Learning Foundations

磁力链接/BT种子名称

林軒田(Hsuan-Tien Lin) - [機器學習基石]Machine Learning Foundations

磁力链接/BT种子简介

种子哈希：f5ccadecda7959e556dbbb90a26c92e861a0ded8
文件大小： 2.06G
已经下载：255次
下载速度：极快
收录时间：2020-02-04
最近下载：2025-08-08

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磁力链接

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文件列表

  • P10 3-1-Learning with Different Output Space @ Machine Learning Foundations (機器學習基石).mp4 67.7 MB
  • P11 3-2-Learning with Different Data Label @ Machine Learning Foundations (機器學習基石).mp4 61.7 MB
  • P13 3-4-Learning with Different Input Space @ Machine Learning Foundations (機器學習基石).mp4 48.8 MB
  • P30 8-1-Noise and Probabilistic Target @ Machine Learning Foundations (機器學習基石).mp4 47.5 MB
  • P2 1-2-What Is Machine Learning @ Machine Learning Foundations (機器學習基石).mp4 46.1 MB
  • P46 12-1-Quadratic Hypotheses @ Machine Learning Foundations (機器學習基石).mp4 45.3 MB
  • P3 1-3-Applications of Machine Learning @ Machine Learning Foundations (機器學習基石).mp4 44.2 MB
  • P54 14-1-Regularized Hypothesis Set @ Machine Learning Foundations (機器學習基石).mp4 43.1 MB
  • P55 14-2-Weight Decay Regularization @ Machine Learning Foundations (機器學習基石).mp4 42.8 MB
  • P19 5-2-Effective Number of Lines @ Machine Learning Foundations (機器學習基石).mp4 42.7 MB
  • P12 3-3-Learning with Different Protocol @ Machine Learning Foundations (機器學習基石).mp4 41.7 MB
  • P9 2-4-Non-Separable Data @ Machine Learning Foundations (機器學習基石).mp4 41.5 MB
  • P58 15-1-Model Selection Problem @ Machine Learning Foundations (機器學習基石).mp4 40.6 MB
  • P42 11-1-Linear Models for Binary Classification @ Machine Learning Foundations (機器學習基石).mp4 40.4 MB
  • P18 5-1-Recap and Preview @ Machine Learning Foundations (機器學習基石).mp4 39.8 MB
  • P16 4-3-Connection to Learning @ Machine Learning Foundations (機器學習基石).mp4 39.7 MB
  • P17 4-4-Connection to Real Learning @ Machine Learning Foundations (機器學習基石).mp4 39.5 MB
  • P14 4-1-Learning is Impossible @ Machine Learning Foundations (機器學習基石).mp4 39.5 MB
  • P41 10-4-Gradient Descent @ Machine Learning Foundations (機器學習基石).mp4 39.4 MB
  • P52 13-3-Deterministic Noise @ Machine Learning Foundations (機器學習基石).mp4 39.3 MB
  • P26 7-1-Definition of VC Dimension @ Machine Learning Foundations (機器學習基石).mp4 38.1 MB
  • P48 12-3-Price of Nonlinear Transform @ Machine Learning Foundations (機器學習基石).mp4 38.1 MB
  • P36 9-3-Generalization Issue @ Machine Learning Foundations (機器學習基石).mp4 37.7 MB
  • P63 16-2-Sampling Bias @ Machine Learning Foundations (機器學習基石).mp4 36.2 MB
  • P25 6-4-A Pictorial Proof @ Machine Learning Foundations (機器學習基石).mp4 35.5 MB
  • P20 5-3-Effective Number of Hypotheses @ Machine Learning Foundations (機器學習基石).mp4 35.0 MB
  • P1 1-1-Course Introduction @ Machine Learning Foundations (機器學習基石).mp4 34.9 MB
  • P51 13-2-The Role of Noise and Data Size @ Machine Learning Foundations (機器學習基石).mp4 34.5 MB
  • P6 2-1-Perceptron Hypothesis Set @ Machine Learning Foundations (機器學習基石).mp4 34.3 MB
  • P50 13-1-What is Overfitting @ Machine Learning Foundations (機器學習基石).mp4 34.0 MB
  • P43 11-2-Stochastic Gradient Descent @ Machine Learning Foundations (機器學習基石).mp4 33.9 MB
  • P64 16-3-Data Snooping @ Machine Learning Foundations (機器學習基石).mp4 33.7 MB
  • P4 1-4-Components of Learning @ Machine Learning Foundations (機器學習基石).mp4 33.7 MB
  • P33 8-4-Weighted Classification @ Machine Learning Foundations (機器學習基石).mp4 33.5 MB
  • P15 4-2-Probability to the Rescue @ Machine Learning Foundations (機器學習基石).mp4 33.3 MB
  • P57 14-4-General Regularizers @ Machine Learning Foundations (機器學習基石).mp4 32.8 MB
  • P22 6-1-Restriction of Break Point @ Machine Learning Foundations (機器學習基石).mp4 31.9 MB
  • P24 6-3-Bounding Function Inductive Cases @ Machine Learning Foundations (機器學習基石).mp4 31.5 MB
  • P29 7-4-Interpreting VC Dimension @ Machine Learning Foundations (機器學習基石).mp4 30.8 MB
  • P61 15-4-V-Fold Cross Validation @ Machine Learning Foundations (機器學習基石).mp4 30.1 MB
  • P40 10-3-Gradient of Logistic Regression Error @ Machine Learning Foundations (機器學習基石).mp4 29.5 MB
  • P27 7-2-VC Dimension of Perceptrons @ Machine Learning Foundations (機器學習基石).mp4 28.6 MB
  • P32 8-3-Algorithmic Error Measure @ Machine Learning Foundations (機器學習基石).mp4 28.2 MB
  • P35 9-2-Linear Regression Algorithm @ Machine Learning Foundations (機器學習基石).mp4 28.2 MB
  • P62 16-1-Occam's Razor @ Machine Learning Foundations (機器學習基石).mp4 28.1 MB
  • P39 10-2-Logistic Regression Error @ Machine Learning Foundations (機器學習基石).mp4 27.7 MB
  • P34 9-1-Linear Regression Problem @ Machine Learning Foundations (機器學習基石).mp4 27.6 MB
  • P44 11-3-Multiclass via Logistic Regression @ Machine Learning Foundations (機器學習基石).mp4 27.5 MB
  • P56 14-3-Regularization and VC Theory @ Machine Learning Foundations (機器學習基石).mp4 27.2 MB
  • P37 9-4-Linear Regression for Binary Classification @ Machine Learning Foundations (機器學習基石).mp4 27.2 MB
  • P8 2-3-Guarantee of PLA @ Machine Learning Foundations (機器學習基石).mp4 26.9 MB
  • P7 2-2-Perceptron Learning Algorithm @ Machine Learning Foundations (機器學習基石).mp4 26.3 MB
  • P21 5-4-Break Point @ Machine Learning Foundations (機器學習基石).mp4 24.8 MB
  • P60 15-3-Leave-One-Out Cross Validation @ Machine Learning Foundations (機器學習基石).mp4 24.5 MB
  • P31 8-2-Error Measure @ Machine Learning Foundations (機器學習基石).mp4 24.0 MB
  • P53 13-4-Dealing with Overfitting @ Machine Learning Foundations (機器學習基石).mp4 23.8 MB
  • P38 10-1-Logistic Regression Problem @ Machine Learning Foundations (機器學習基石).mp4 23.8 MB
  • P59 15-2-Validation @ Machine Learning Foundations (機器學習基石).mp4 22.8 MB
  • P45 11-4-Multiclass via Binary Classification @ Machine Learning Foundations (機器學習基石).mp4 22.8 MB
  • P65 16-4-Power of Three @ Machine Learning Foundations (機器學習基石).mp4 22.1 MB
  • P5 1-5-Machine Learning and Other Fields @ Machine Learning Foundations (機器學習基石).mp4 20.6 MB
  • P47 12-2-Nonlinear Transform @ Machine Learning Foundations (機器學習基石).mp4 19.2 MB
  • P49 12-4-Structured Hypothesis Sets @ Machine Learning Foundations (機器學習基石).mp4 17.7 MB
  • P23 6-2-Bounding Function Basic Cases @ Machine Learning Foundations (機器學習基石).mp4 16.9 MB
  • P28 7-3-Physical Intuition of VC Dimension @ Machine Learning Foundations (機器學習基石).mp4 15.3 MB
  • mlfound_handout/01_handout.pdf 6.8 MB
  • mlfound_handout/16_handout.pdf 5.1 MB
  • mlfound_handout/04_handout.pdf 1.9 MB
  • mlfound_handout/12_handout.pdf 1.3 MB
  • mlfound_handout/15_handout.pdf 1.1 MB
  • mlfound_handout/08_handout.pdf 960.0 kB
  • mlfound_handout/14_handout.pdf 899.5 kB
  • mlfound_handout/13_handout.pdf 838.0 kB
  • mlfound_handout/03_handout.pdf 836.0 kB
  • mlfound_handout/02_handout.pdf 819.5 kB
  • mlfound_handout/09_handout.pdf 818.6 kB
  • mlfound_handout/11_handout.pdf 619.3 kB
  • mlfound_handout/06_handout.pdf 570.9 kB
  • mlfound_handout/10_handout.pdf 538.8 kB
  • mlfound_handout/07_handout.pdf 498.6 kB
  • mlfound_handout/05_handout.pdf 456.9 kB

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