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Machine Learning CALTECH
magnet:?xt=urn:btih:4698F09EE464B9E581216D61D5ADCAC1E17DE44B&dn=Machine Learning CALTECH
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Hash值:
4698F09EE464B9E581216D61D5ADCAC1E17DE44B
点击数:
88
文件大小:
3.23 GB
文件数量:
18
创建日期:
2015-9-26 18:13
最后访问:
2024-7-4 07:22
访问标签:
Machine
Learning
CALTECH
文件列表详情
Lecture 09 - The Linear Model II (May 1, 2012).mp4 206.51 MB
Lecture 13 - Validation (May 15, 2012).mp4 205.24 MB
Lecture 01 - The Learning Problem (April 3, 2012).mp4 201.32 MB
Lecture 10 - Neural Networks (May 3, 2012).mp4 193.08 MB
Lecture 15 - Kernel Methods (May 22, 2012).mp4 188.44 MB
Lecture 17 - Three Learning Principles (May 29, 2012).mp4 186.46 MB
Lecture 05 - Training Versus Testing (April 17, 2012).mp4 185.76 MB
Lecture 02 - Is Learning Feasible (April 5, 2012).mp4 185.31 MB
Lecture 11 - Overfitting (May 8, 2012).mp4 184.75 MB
Lecture 16 - Radial Basis Functions (May 24, 2012).mp4 183.24 MB
Lecture 06 - Theory of Generalization (April 19, 2012).mp4 182.23 MB
Lecture 14 - Support Vector Machines (May 17, 2012).mp4 178.48 MB
Lecture 18 - Epilogue (May 31, 2012).mp4 176.42 MB
Lecture 08 - Bias-Variance Tradeoff (April 26, 2012).mp4 176.18 MB
Lecture 03 -The Linear Model I (April 10, 2012).mp4 175.06 MB
Lecture 12 - Regularization (May 10, 2012).mp4 173.94 MB
Lecture 07 - The VC Dimension (April 24, 2012).mp4 168.04 MB
Lecture 04 - Error and Noise (April 12, 2012).mp4 148.4 MB
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