Machine Learning CALTECH | 0E068F7E34B182D40E85241312BD4AD32C9D8B70

Machine Learning CALTECH

Name	Machine Learning CALTECH	DOWNLOAD Copy Link
Total Size	3.5 GB
Total Files	35
Hash	0E068F7E34B182D40E85241312BD4AD32C9D8B70

/Slides/
iTunesU_Lecture01_April_03.pdf	300.7 KB
iTunesU_Lecture02_April_05.pdf	527.4 KB
iTunesU_Lecture03_April_10.pdf	1.1 MB
iTunesU_Lecture04_April_12.pdf	1.0 MB
iTunesU_Lecture05_April_17.pdf	509.1 KB
iTunesU_Lecture06_April_19.pdf	303.4 KB
iTunesU_Lecture07_April_24.pdf	418.4 KB
iTunesU_Lecture08_April_26.pdf	373.5 KB
iTunesU_Lecture09_May_01.pdf	745.9 KB
iTunesU_Lecture10_May_03.pdf	400.4 KB
iTunesU_Lecture11_May_08.pdf	761.5 KB
iTunesU_Lecture12_May_10.pdf	644.0 KB
iTunesU_Lecture13_May_15.pdf	757.0 KB
iTunesU_Lecture14_May_17.pdf	248.6 KB
iTunesU_Lecture15_May_22.pdf	489.7 KB
iTunesU_Lecture17_May_29.pdf	449.0 KB
iTunesU_Lecture18_May_31.pdf	249.3 KB
/
Lecture 01 - The Learning Problem (April 3, 2012).mp4	211.1 MB
Lecture 02 - Is Learning Feasible (April 5, 2012).mp4	194.3 MB
Lecture 03 -The Linear Model I (April 10, 2012).mp4	183.6 MB
Lecture 04 - Error and Noise (April 12, 2012).mp4	155.6 MB
Lecture 05 - Training Versus Testing (April 17, 2012).mp4	194.8 MB
Lecture 06 - Theory of Generalization (April 19, 2012).mp4	191.1 MB
Lecture 07 - The VC Dimension (April 24, 2012).mp4	176.2 MB
Lecture 08 - Bias-Variance Tradeoff (April 26, 2012).mp4	184.7 MB
Lecture 09 - The Linear Model II (May 1, 2012).mp4	216.5 MB
Lecture 10 - Neural Networks (May 3, 2012).mp4	202.5 MB
Lecture 11 - Overfitting (May 8, 2012).mp4	193.7 MB
Lecture 12 - Regularization (May 10, 2012).mp4	182.4 MB
Lecture 13 - Validation (May 15, 2012).mp4	215.2 MB
Lecture 14 - Support Vector Machines (May 17, 2012).mp4	187.2 MB
Lecture 15 - Kernel Methods (May 22, 2012).mp4	197.6 MB
Lecture 16 - Radial Basis Functions (May 24, 2012).mp4	192.1 MB
Lecture 17 - Three Learning Principles (May 29, 2012).mp4	195.5 MB
Lecture 18 - Epilogue (May 31, 2012).mp4	185.0 MB
Total files 35