Machine Learning CALTECH

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