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Slides/iTunesU_Lecture01_April_03.pdf 293.63 KB
Slides/iTunesU_Lecture02_April_05.pdf 515.06 KB
Slides/iTunesU_Lecture03_April_10.pdf 1.04 MB
Slides/iTunesU_Lecture04_April_12.pdf 992.32 KB
Slides/iTunesU_Lecture05_April_17.pdf 497.17 KB
Slides/iTunesU_Lecture06_April_19.pdf 296.33 KB
Slides/iTunesU_Lecture07_April_24.pdf 408.62 KB
Slides/iTunesU_Lecture08_April_26.pdf 364.71 KB
Slides/iTunesU_Lecture09_May_01.pdf 728.44 KB
Slides/iTunesU_Lecture10_May_03.pdf 391.05 KB
Slides/iTunesU_Lecture11_May_08.pdf 743.69 KB
Slides/iTunesU_Lecture12_May_10.pdf 628.88 KB
Slides/iTunesU_Lecture13_May_15.pdf 739.3 KB
Slides/iTunesU_Lecture14_May_17.pdf 242.73 KB
Slides/iTunesU_Lecture15_May_22.pdf 478.19 KB
Slides/iTunesU_Lecture17_May_29.pdf 438.52 KB
Slides/iTunesU_Lecture18_May_31.pdf 243.41 KB
Lecture 01 - The Learning Problem (April 3, 2012).mp4 201.32 MB
Lecture 02 - Is Learning Feasible (April 5, 2012).mp4 185.31 MB
Lecture 03 -The Linear Model I (April 10, 2012).mp4 175.06 MB
Lecture 04 - Error and Noise (April 12, 2012).mp4 148.4 MB
Lecture 05 - Training Versus Testing (April 17, 2012).mp4 185.76 MB
Lecture 06 - Theory of Generalization (April 19, 2012).mp4 182.23 MB
Lecture 07 - The VC Dimension (April 24, 2012).mp4 168.04 MB
Lecture 08 - Bias-Variance Tradeoff (April 26, 2012).mp4 176.18 MB
Lecture 09 - The Linear Model II (May 1, 2012).mp4 206.51 MB
Lecture 10 - Neural Networks (May 3, 2012).mp4 193.08 MB
Lecture 11 - Overfitting (May 8, 2012).mp4 184.75 MB
Lecture 12 - Regularization (May 10, 2012).mp4 173.94 MB
Lecture 13 - Validation (May 15, 2012).mp4 205.24 MB
Lecture 14 - Support Vector Machines (May 17, 2012).mp4 178.48 MB
Lecture 15 - Kernel Methods (May 22, 2012).mp4 188.44 MB
Lecture 16 - Radial Basis Functions (May 24, 2012).mp4 183.24 MB
Lecture 17 - Three Learning Principles (May 29, 2012).mp4 186.46 MB
Lecture 18 - Epilogue (May 31, 2012).mp4 176.42 MB
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