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种子名称:
Yaser-MachineLearning-CS156-Caltech
文件类型:
视频
文件数目:
18个文件
文件大小:
3.12 GB
收录时间:
2017-5-22 20:36
已经下载:
3次
资源热度:
76
最近下载:
2024-12-6 14:22
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Yaser-MachineLearning-CS156-Caltech.torrent
lectures/Lecture 01 - The Learning Problem-mbyG85GZ0PI.mp4195.21MB
lectures/Lecture 02 - Is Learning Feasible-MEG35RDD7RA.mp4185.43MB
lectures/Lecture 03 - The Linear Model I-FIbVs5GbBlQ.mp4172.96MB
lectures/Lecture 04 - Error and Noise-L_0efNkdGMc.mp4143.75MB
lectures/Lecture 05 - Training Versus Testing-SEYAnnLazMU.mp4184.7MB
lectures/Lecture 06 - Theory of Generalization-6FWRijsmLtE.mp4171.54MB
lectures/Lecture 07 - The VC Dimension-Dc0sr0kdBVI.mp4160.91MB
lectures/Lecture 08 - Bias-Variance Tradeoff-zrEyxfl2-a8.mp4171.94MB
lectures/Lecture 09 - The Linear Model II-qSTHZvN8hzs.mp4202.82MB
lectures/Lecture 10 - Neural Networks-Ih5Mr93E-2c.mp4172.89MB
lectures/Lecture 11 - Overfitting-EQWr3GGCdzw.mp4188.3MB
lectures/Lecture 12 - Regularization-I-VfYXzC5ro.mp4167.25MB
lectures/Lecture 13 - Validation-o7zzaKd0Lkk.mp4203.36MB
lectures/Lecture 14 - Support Vector Machines-eHsErlPJWUU.mp4168.91MB
lectures/Lecture 15 - Kernel Methods-XUj5JbQihlU.mp4183.17MB
lectures/Lecture 16 - Radial Basis Functions-O8CfrnOPtLc.mp4182.77MB
lectures/Lecture 17 - Three Learning Principles-EZBUDG12Nr0.mp4162.2MB
lectures/Lecture 18 - Epilogue-ihLwJPHkMRY.mp4172.49MB