Machine Learning CALTECH
- Lecture 09 - The Linear Model II (May 1, 2012).mp4206.51 MB
- Lecture 13 - Validation (May 15, 2012).mp4205.24 MB
- Lecture 01 - The Learning Problem (April 3, 2012).mp4201.32 MB
- Lecture 10 - Neural Networks (May 3, 2012).mp4193.08 MB
- Lecture 15 - Kernel Methods (May 22, 2012).mp4188.44 MB
- Lecture 17 - Three Learning Principles (May 29, 2012).mp4186.46 MB
- Lecture 05 - Training Versus Testing (April 17, 2012).mp4185.76 MB
- Lecture 02 - Is Learning Feasible (April 5, 2012).mp4185.31 MB
- Lecture 11 - Overfitting (May 8, 2012).mp4184.75 MB
- Lecture 16 - Radial Basis Functions (May 24, 2012).mp4183.24 MB
- Lecture 06 - Theory of Generalization (April 19, 2012).mp4182.23 MB
- Lecture 14 - Support Vector Machines (May 17, 2012).mp4178.48 MB
- Lecture 18 - Epilogue (May 31, 2012).mp4176.42 MB
- Lecture 08 - Bias-Variance Tradeoff (April 26, 2012).mp4176.18 MB
- Lecture 03 -The Linear Model I (April 10, 2012).mp4175.06 MB
- Lecture 12 - Regularization (May 10, 2012).mp4173.94 MB
- Lecture 07 - The VC Dimension (April 24, 2012).mp4168.04 MB
- Lecture 04 - Error and Noise (April 12, 2012).mp4148.4 MB
- SlidesiTunesU_Lecture03_April_10.pdf1.04 MB
- SlidesiTunesU_Lecture04_April_12.pdf992.32 KB
- SlidesiTunesU_Lecture11_May_08.pdf743.69 KB
- SlidesiTunesU_Lecture13_May_15.pdf739.3 KB
- SlidesiTunesU_Lecture09_May_01.pdf728.44 KB
- SlidesiTunesU_Lecture12_May_10.pdf628.88 KB
- SlidesiTunesU_Lecture02_April_05.pdf515.06 KB
- SlidesiTunesU_Lecture05_April_17.pdf497.17 KB
- SlidesiTunesU_Lecture15_May_22.pdf478.19 KB
- SlidesiTunesU_Lecture17_May_29.pdf438.52 KB
- SlidesiTunesU_Lecture07_April_24.pdf408.62 KB
- SlidesiTunesU_Lecture10_May_03.pdf391.05 KB
- SlidesiTunesU_Lecture08_April_26.pdf364.71 KB
- SlidesiTunesU_Lecture06_April_19.pdf296.33 KB
- SlidesiTunesU_Lecture01_April_03.pdf293.63 KB
- SlidesiTunesU_Lecture18_May_31.pdf243.41 KB
- SlidesiTunesU_Lecture14_May_17.pdf242.73 KB