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Yaser-MachineLearning-CS156-Caltech
magnet:?xt=urn:btih:8190b5122515ab158cd29ccdb33ea946a3e529f4&dn=Yaser-MachineLearning-CS156-Caltech
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文件列表详情
8190b5122515ab158cd29ccdb33ea946a3e529f4
infohash:
18
文件数量
3.12 GB
文件大小
2017-5-22 20:36
创建日期
2024-9-29 17:31
最后访问
相关分词
Yaser-MachineLearning-CS156-Caltech
lectures/Lecture 01 - The Learning Problem-mbyG85GZ0PI.mp4 195.21 MB
lectures/Lecture 02 - Is Learning Feasible-MEG35RDD7RA.mp4 185.43 MB
lectures/Lecture 03 - The Linear Model I-FIbVs5GbBlQ.mp4 172.96 MB
lectures/Lecture 04 - Error and Noise-L_0efNkdGMc.mp4 143.75 MB
lectures/Lecture 05 - Training Versus Testing-SEYAnnLazMU.mp4 184.7 MB
lectures/Lecture 06 - Theory of Generalization-6FWRijsmLtE.mp4 171.54 MB
lectures/Lecture 07 - The VC Dimension-Dc0sr0kdBVI.mp4 160.91 MB
lectures/Lecture 08 - Bias-Variance Tradeoff-zrEyxfl2-a8.mp4 171.94 MB
lectures/Lecture 09 - The Linear Model II-qSTHZvN8hzs.mp4 202.82 MB
lectures/Lecture 10 - Neural Networks-Ih5Mr93E-2c.mp4 172.89 MB
lectures/Lecture 11 - Overfitting-EQWr3GGCdzw.mp4 188.3 MB
lectures/Lecture 12 - Regularization-I-VfYXzC5ro.mp4 167.25 MB
lectures/Lecture 13 - Validation-o7zzaKd0Lkk.mp4 203.36 MB
lectures/Lecture 14 - Support Vector Machines-eHsErlPJWUU.mp4 168.91 MB
lectures/Lecture 15 - Kernel Methods-XUj5JbQihlU.mp4 183.17 MB
lectures/Lecture 16 - Radial Basis Functions-O8CfrnOPtLc.mp4 182.77 MB
lectures/Lecture 17 - Three Learning Principles-EZBUDG12Nr0.mp4 162.2 MB
lectures/Lecture 18 - Epilogue-ihLwJPHkMRY.mp4 172.49 MB
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