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林軒田(Hsuan-Tien Lin) - [機器學習基石]Machine Learning Foundations
magnet:?xt=urn:btih:f5ccadecda7959e556dbbb90a26c92e861a0ded8&dn=林軒田(Hsuan-Tien Lin) - [機器學習基石]Machine Learning Foundations
磁力链接详情
Hash值:
f5ccadecda7959e556dbbb90a26c92e861a0ded8
点击数:
147
文件大小:
2.04 GB
文件数量:
65
创建日期:
2019-2-24 21:03
最后访问:
2024-6-11 10:46
访问标签:
林軒田
Hsuan-Tien
Lin
-
機器學習基石
Machine
Learning
Foundations
文件列表详情
P10 3-1-Learning with Different Output Space @ Machine Learning Foundations (機器學習基石).mp4 64.54 MB
P11 3-2-Learning with Different Data Label @ Machine Learning Foundations (機器學習基石).mp4 58.8 MB
P13 3-4-Learning with Different Input Space @ Machine Learning Foundations (機器學習基石).mp4 46.5 MB
P30 8-1-Noise and Probabilistic Target @ Machine Learning Foundations (機器學習基石).mp4 45.33 MB
P2 1-2-What Is Machine Learning @ Machine Learning Foundations (機器學習基石).mp4 44.01 MB
P46 12-1-Quadratic Hypotheses @ Machine Learning Foundations (機器學習基石).mp4 43.16 MB
P3 1-3-Applications of Machine Learning @ Machine Learning Foundations (機器學習基石).mp4 42.19 MB
P54 14-1-Regularized Hypothesis Set @ Machine Learning Foundations (機器學習基石).mp4 41.09 MB
P55 14-2-Weight Decay Regularization @ Machine Learning Foundations (機器學習基石).mp4 40.79 MB
P19 5-2-Effective Number of Lines @ Machine Learning Foundations (機器學習基石).mp4 40.69 MB
P12 3-3-Learning with Different Protocol @ Machine Learning Foundations (機器學習基石).mp4 39.81 MB
P9 2-4-Non-Separable Data @ Machine Learning Foundations (機器學習基石).mp4 39.56 MB
P58 15-1-Model Selection Problem @ Machine Learning Foundations (機器學習基石).mp4 38.68 MB
P42 11-1-Linear Models for Binary Classification @ Machine Learning Foundations (機器學習基石).mp4 38.55 MB
P18 5-1-Recap and Preview @ Machine Learning Foundations (機器學習基石).mp4 37.97 MB
P16 4-3-Connection to Learning @ Machine Learning Foundations (機器學習基石).mp4 37.83 MB
P17 4-4-Connection to Real Learning @ Machine Learning Foundations (機器學習基石).mp4 37.7 MB
P14 4-1-Learning is Impossible @ Machine Learning Foundations (機器學習基石).mp4 37.62 MB
P41 10-4-Gradient Descent @ Machine Learning Foundations (機器學習基石).mp4 37.56 MB
P52 13-3-Deterministic Noise @ Machine Learning Foundations (機器學習基石).mp4 37.5 MB
P26 7-1-Definition of VC Dimension @ Machine Learning Foundations (機器學習基石).mp4 36.36 MB
P48 12-3-Price of Nonlinear Transform @ Machine Learning Foundations (機器學習基石).mp4 36.34 MB
P36 9-3-Generalization Issue @ Machine Learning Foundations (機器學習基石).mp4 35.92 MB
P63 16-2-Sampling Bias @ Machine Learning Foundations (機器學習基石).mp4 34.56 MB
P25 6-4-A Pictorial Proof @ Machine Learning Foundations (機器學習基石).mp4 33.9 MB
P20 5-3-Effective Number of Hypotheses @ Machine Learning Foundations (機器學習基石).mp4 33.43 MB
P1 1-1-Course Introduction @ Machine Learning Foundations (機器學習基石).mp4 33.27 MB
P51 13-2-The Role of Noise and Data Size @ Machine Learning Foundations (機器學習基石).mp4 32.91 MB
P6 2-1-Perceptron Hypothesis Set @ Machine Learning Foundations (機器學習基石).mp4 32.7 MB
P50 13-1-What is Overfitting @ Machine Learning Foundations (機器學習基石).mp4 32.4 MB
P43 11-2-Stochastic Gradient Descent @ Machine Learning Foundations (機器學習基石).mp4 32.32 MB
P64 16-3-Data Snooping @ Machine Learning Foundations (機器學習基石).mp4 32.16 MB
P4 1-4-Components of Learning @ Machine Learning Foundations (機器學習基石).mp4 32.12 MB
P33 8-4-Weighted Classification @ Machine Learning Foundations (機器學習基石).mp4 31.98 MB
P15 4-2-Probability to the Rescue @ Machine Learning Foundations (機器學習基石).mp4 31.8 MB
P57 14-4-General Regularizers @ Machine Learning Foundations (機器學習基石).mp4 31.28 MB
P22 6-1-Restriction of Break Point @ Machine Learning Foundations (機器學習基石).mp4 30.46 MB
P24 6-3-Bounding Function Inductive Cases @ Machine Learning Foundations (機器學習基石).mp4 30.07 MB
P29 7-4-Interpreting VC Dimension @ Machine Learning Foundations (機器學習基石).mp4 29.41 MB
P61 15-4-V-Fold Cross Validation @ Machine Learning Foundations (機器學習基石).mp4 28.66 MB
P40 10-3-Gradient of Logistic Regression Error @ Machine Learning Foundations (機器學習基石).mp4 28.14 MB
P27 7-2-VC Dimension of Perceptrons @ Machine Learning Foundations (機器學習基石).mp4 27.26 MB
P32 8-3-Algorithmic Error Measure @ Machine Learning Foundations (機器學習基石).mp4 26.91 MB
P35 9-2-Linear Regression Algorithm @ Machine Learning Foundations (機器學習基石).mp4 26.89 MB
P62 16-1-Occam's Razor @ Machine Learning Foundations (機器學習基石).mp4 26.81 MB
P39 10-2-Logistic Regression Error @ Machine Learning Foundations (機器學習基石).mp4 26.44 MB
P34 9-1-Linear Regression Problem @ Machine Learning Foundations (機器學習基石).mp4 26.37 MB
P44 11-3-Multiclass via Logistic Regression @ Machine Learning Foundations (機器學習基石).mp4 26.27 MB
P56 14-3-Regularization and VC Theory @ Machine Learning Foundations (機器學習基石).mp4 25.96 MB
P37 9-4-Linear Regression for Binary Classification @ Machine Learning Foundations (機器學習基石).mp4 25.92 MB
P8 2-3-Guarantee of PLA @ Machine Learning Foundations (機器學習基石).mp4 25.68 MB
P7 2-2-Perceptron Learning Algorithm @ Machine Learning Foundations (機器學習基石).mp4 25.12 MB
P21 5-4-Break Point @ Machine Learning Foundations (機器學習基石).mp4 23.63 MB
P60 15-3-Leave-One-Out Cross Validation @ Machine Learning Foundations (機器學習基石).mp4 23.35 MB
P31 8-2-Error Measure @ Machine Learning Foundations (機器學習基石).mp4 22.93 MB
P53 13-4-Dealing with Overfitting @ Machine Learning Foundations (機器學習基石).mp4 22.71 MB
P38 10-1-Logistic Regression Problem @ Machine Learning Foundations (機器學習基石).mp4 22.69 MB
P59 15-2-Validation @ Machine Learning Foundations (機器學習基石).mp4 21.76 MB
P45 11-4-Multiclass via Binary Classification @ Machine Learning Foundations (機器學習基石).mp4 21.73 MB
P65 16-4-Power of Three @ Machine Learning Foundations (機器學習基石).mp4 21.1 MB
P5 1-5-Machine Learning and Other Fields @ Machine Learning Foundations (機器學習基石).mp4 19.63 MB
P47 12-2-Nonlinear Transform @ Machine Learning Foundations (機器學習基石).mp4 18.32 MB
P49 12-4-Structured Hypothesis Sets @ Machine Learning Foundations (機器學習基石).mp4 16.91 MB
P23 6-2-Bounding Function Basic Cases @ Machine Learning Foundations (機器學習基石).mp4 16.16 MB
P28 7-3-Physical Intuition of VC Dimension @ Machine Learning Foundations (機器學習基石).mp4 14.61 MB
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