File List
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[PT]Learning From Data-srt.rar 680 KB
Lecture 01 - The Learning Problem.mp4 205.42 MB
Lecture 02 - Is Learning Feasible.mp4 185.31 MB
Lecture 03 -The Linear Model I.mp4 175.06 MB
Lecture 04 - Error and Noise.mp4 148.4 MB
Lecture 05 - Training Versus Testing.mp4 185.76 MB
Lecture 06 - Theory of Generalization.mp4 182.23 MB
Lecture 07 - The VC Dimension.mp4 168.04 MB
Lecture 08 - Bias-Variance Tradeoff.mp4 176.18 MB
Lecture 09 - The Linear Model II.mp4 206.51 MB
Lecture 10 - Neural Networks.mp4 193.08 MB
Lecture 11 - Overfitting.mp4 184.75 MB
Lecture 12 - Regularization.mp4 173.94 MB
Lecture 13 - Validation.mp4 205.24 MB
Lecture 14 - Support Vector Machines.mp4 178.48 MB
Lecture 15 - Kernel Methods.mp4 188.44 MB
Lecture 16 - Radial Basis Functions.mp4 183.24 MB
Lecture 17 - Three Learning Principles.mp4 186.46 MB
Lecture 18 - Epilogue.mp4 176.42 MB
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