Index of /pub/educational/Coursera - Machine Learning - University of Washington - machlearning-001/08_Week_Eight-_Learning_Theory/

../
01_Learning_Theory.mp4                             23-Jul-2026 13:29            13418752
02_No_Free_Lunch_Theorems.mp4                      23-Jul-2026 13:29            62801202
03_Practical_Consequences_of_No_Free_Lunch.mp4     23-Jul-2026 13:29            36674446
04_Bias_and_Variance.mp4                           23-Jul-2026 13:29            80919417
05_Bias-Variance_Decomposition_for_Squared_Loss..> 23-Jul-2026 13:29            16617446
06_General_Bias-Variance_Decomposition.mp4         23-Jul-2026 13:29            46035558
07_Bias-Variance_Decomposition_for_Zero-One_Los..> 23-Jul-2026 13:29            26841140
08_Bias_and_Variance_for_Other_Loss_Functions.mp4  23-Jul-2026 13:29            16597284
09_PAC_Learning.mp4                                23-Jul-2026 13:29            41979691
10_How_Many_Examples_Are_Enough.mp4                23-Jul-2026 13:29            57661333
11_Examples_and_Definition_of_PAC_Learning.mp4     23-Jul-2026 13:29            18181922
12_Agnostic_Learning.mp4                           23-Jul-2026 13:29            47985552
13_VC_Dimension.mp4                                23-Jul-2026 13:29            41911125
14_VC_Dimension_of_Hyperplanes.mp4                 23-Jul-2026 13:29            41184916
15_Sample_Complexity_from_VC_Dimension.mp4         23-Jul-2026 13:29             8091030