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

Torrent Hash:
F5CCADECDA7959E556DBBB90A26C92E861A0DED8
Number of Files:
81
Content Size:
2.06GB
Convert On:
2020-08-13
Magnet Link:
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File Name
Size
mlfound_handout/01_handout.pdf
6.45MB
mlfound_handout/16_handout.pdf
4.88MB
mlfound_handout/04_handout.pdf
1.8MB
mlfound_handout/12_handout.pdf
1.19MB
mlfound_handout/15_handout.pdf
1.09MB
mlfound_handout/08_handout.pdf
937.54KB
mlfound_handout/14_handout.pdf
878.39KB
mlfound_handout/13_handout.pdf
818.36KB
mlfound_handout/03_handout.pdf
816.43KB
mlfound_handout/02_handout.pdf
800.28KB
mlfound_handout/09_handout.pdf
799.42KB
mlfound_handout/11_handout.pdf
604.81KB
mlfound_handout/06_handout.pdf
557.49KB
mlfound_handout/10_handout.pdf
526.13KB
mlfound_handout/07_handout.pdf
486.92KB
mlfound_handout/05_handout.pdf
446.18KB
P10 3-1-Learning with Different Output Space @ Machine Learning Foundations (機器學習基石).mp4
64.54MB
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P11 3-2-Learning with Different Data Label @ Machine Learning Foundations (機器學習基石).mp4
58.8MB
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P13 3-4-Learning with Different Input Space @ Machine Learning Foundations (機器學習基石).mp4
46.5MB
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P30 8-1-Noise and Probabilistic Target @ Machine Learning Foundations (機器學習基石).mp4
45.33MB
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P2 1-2-What Is Machine Learning @ Machine Learning Foundations (機器學習基石).mp4
44.01MB
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P46 12-1-Quadratic Hypotheses @ Machine Learning Foundations (機器學習基石).mp4
43.16MB
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P3 1-3-Applications of Machine Learning @ Machine Learning Foundations (機器學習基石).mp4
42.19MB
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P54 14-1-Regularized Hypothesis Set @ Machine Learning Foundations (機器學習基石).mp4
41.09MB
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P55 14-2-Weight Decay Regularization @ Machine Learning Foundations (機器學習基石).mp4
40.79MB
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P19 5-2-Effective Number of Lines @ Machine Learning Foundations (機器學習基石).mp4
40.69MB
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P12 3-3-Learning with Different Protocol @ Machine Learning Foundations (機器學習基石).mp4
39.81MB
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P9 2-4-Non-Separable Data @ Machine Learning Foundations (機器學習基石).mp4
39.56MB
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P58 15-1-Model Selection Problem @ Machine Learning Foundations (機器學習基石).mp4
38.68MB
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P42 11-1-Linear Models for Binary Classification @ Machine Learning Foundations (機器學習基石).mp4
38.55MB
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P18 5-1-Recap and Preview @ Machine Learning Foundations (機器學習基石).mp4
37.97MB
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P16 4-3-Connection to Learning @ Machine Learning Foundations (機器學習基石).mp4
37.83MB
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P17 4-4-Connection to Real Learning @ Machine Learning Foundations (機器學習基石).mp4
37.7MB
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P14 4-1-Learning is Impossible @ Machine Learning Foundations (機器學習基石).mp4
37.62MB
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P41 10-4-Gradient Descent @ Machine Learning Foundations (機器學習基石).mp4
37.56MB
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P52 13-3-Deterministic Noise @ Machine Learning Foundations (機器學習基石).mp4
37.5MB
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P26 7-1-Definition of VC Dimension @ Machine Learning Foundations (機器學習基石).mp4
36.36MB
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P48 12-3-Price of Nonlinear Transform @ Machine Learning Foundations (機器學習基石).mp4
36.34MB
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P36 9-3-Generalization Issue @ Machine Learning Foundations (機器學習基石).mp4
35.92MB
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P63 16-2-Sampling Bias @ Machine Learning Foundations (機器學習基石).mp4
34.56MB
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P25 6-4-A Pictorial Proof @ Machine Learning Foundations (機器學習基石).mp4
33.9MB
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P20 5-3-Effective Number of Hypotheses @ Machine Learning Foundations (機器學習基石).mp4
33.43MB
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P1 1-1-Course Introduction @ Machine Learning Foundations (機器學習基石).mp4
33.27MB
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P51 13-2-The Role of Noise and Data Size @ Machine Learning Foundations (機器學習基石).mp4
32.91MB
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P6 2-1-Perceptron Hypothesis Set @ Machine Learning Foundations (機器學習基石).mp4
32.7MB
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P50 13-1-What is Overfitting @ Machine Learning Foundations (機器學習基石).mp4
32.4MB
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P43 11-2-Stochastic Gradient Descent @ Machine Learning Foundations (機器學習基石).mp4
32.32MB
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P64 16-3-Data Snooping @ Machine Learning Foundations (機器學習基石).mp4
32.16MB
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P4 1-4-Components of Learning @ Machine Learning Foundations (機器學習基石).mp4
32.12MB
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P33 8-4-Weighted Classification @ Machine Learning Foundations (機器學習基石).mp4
31.98MB
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P15 4-2-Probability to the Rescue @ Machine Learning Foundations (機器學習基石).mp4
31.8MB
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P57 14-4-General Regularizers @ Machine Learning Foundations (機器學習基石).mp4
31.28MB
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P22 6-1-Restriction of Break Point @ Machine Learning Foundations (機器學習基石).mp4
30.46MB
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P24 6-3-Bounding Function Inductive Cases @ Machine Learning Foundations (機器學習基石).mp4
30.07MB
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P29 7-4-Interpreting VC Dimension @ Machine Learning Foundations (機器學習基石).mp4
29.41MB
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P61 15-4-V-Fold Cross Validation @ Machine Learning Foundations (機器學習基石).mp4
28.66MB
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P40 10-3-Gradient of Logistic Regression Error @ Machine Learning Foundations (機器學習基石).mp4
28.14MB
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P27 7-2-VC Dimension of Perceptrons @ Machine Learning Foundations (機器學習基石).mp4
27.26MB
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P32 8-3-Algorithmic Error Measure @ Machine Learning Foundations (機器學習基石).mp4
26.91MB
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P35 9-2-Linear Regression Algorithm @ Machine Learning Foundations (機器學習基石).mp4
26.89MB
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P62 16-1-Occam's Razor @ Machine Learning Foundations (機器學習基石).mp4
26.81MB
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P39 10-2-Logistic Regression Error @ Machine Learning Foundations (機器學習基石).mp4
26.44MB
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P34 9-1-Linear Regression Problem @ Machine Learning Foundations (機器學習基石).mp4
26.37MB
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P44 11-3-Multiclass via Logistic Regression @ Machine Learning Foundations (機器學習基石).mp4
26.27MB
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P56 14-3-Regularization and VC Theory @ Machine Learning Foundations (機器學習基石).mp4
25.96MB
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P37 9-4-Linear Regression for Binary Classification @ Machine Learning Foundations (機器學習基石).mp4
25.92MB
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P8 2-3-Guarantee of PLA @ Machine Learning Foundations (機器學習基石).mp4
25.68MB
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P7 2-2-Perceptron Learning Algorithm @ Machine Learning Foundations (機器學習基石).mp4
25.12MB
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P21 5-4-Break Point @ Machine Learning Foundations (機器學習基石).mp4
23.63MB
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P60 15-3-Leave-One-Out Cross Validation @ Machine Learning Foundations (機器學習基石).mp4
23.35MB
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P31 8-2-Error Measure @ Machine Learning Foundations (機器學習基石).mp4
22.93MB
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P53 13-4-Dealing with Overfitting @ Machine Learning Foundations (機器學習基石).mp4
22.71MB
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P38 10-1-Logistic Regression Problem @ Machine Learning Foundations (機器學習基石).mp4
22.69MB
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P59 15-2-Validation @ Machine Learning Foundations (機器學習基石).mp4
21.76MB
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P45 11-4-Multiclass via Binary Classification @ Machine Learning Foundations (機器學習基石).mp4
21.73MB
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P65 16-4-Power of Three @ Machine Learning Foundations (機器學習基石).mp4
21.1MB
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P5 1-5-Machine Learning and Other Fields @ Machine Learning Foundations (機器學習基石).mp4
19.63MB
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P47 12-2-Nonlinear Transform @ Machine Learning Foundations (機器學習基石).mp4
18.32MB
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P49 12-4-Structured Hypothesis Sets @ Machine Learning Foundations (機器學習基石).mp4
16.91MB
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P23 6-2-Bounding Function Basic Cases @ Machine Learning Foundations (機器學習基石).mp4
16.16MB
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P28 7-3-Physical Intuition of VC Dimension @ Machine Learning Foundations (機器學習基石).mp4
14.61MB
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