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Download Machine Learning CALTECH

Machine Learning CALTECH

Name

Machine Learning CALTECH

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Total Size

3.5 GB

Total Files

35

Hash

4698F09EE464B9E581216D61D5ADCAC1E17DE44B

/

Lecture 09 - The Linear Model II (May 1, 2012).mp4

216.5 MB

Lecture 13 - Validation (May 15, 2012).mp4

215.2 MB

Lecture 01 - The Learning Problem (April 3, 2012).mp4

211.1 MB

Lecture 10 - Neural Networks (May 3, 2012).mp4

202.5 MB

Lecture 15 - Kernel Methods (May 22, 2012).mp4

197.6 MB

Lecture 17 - Three Learning Principles (May 29, 2012).mp4

195.5 MB

Lecture 05 - Training Versus Testing (April 17, 2012).mp4

194.8 MB

Lecture 02 - Is Learning Feasible (April 5, 2012).mp4

194.3 MB

Lecture 11 - Overfitting (May 8, 2012).mp4

193.7 MB

Lecture 16 - Radial Basis Functions (May 24, 2012).mp4

192.1 MB

Lecture 06 - Theory of Generalization (April 19, 2012).mp4

191.1 MB

Lecture 14 - Support Vector Machines (May 17, 2012).mp4

187.2 MB

Lecture 18 - Epilogue (May 31, 2012).mp4

185.0 MB

Lecture 08 - Bias-Variance Tradeoff (April 26, 2012).mp4

184.7 MB

Lecture 03 -The Linear Model I (April 10, 2012).mp4

183.6 MB

Lecture 12 - Regularization (May 10, 2012).mp4

182.4 MB

Lecture 07 - The VC Dimension (April 24, 2012).mp4

176.2 MB

Lecture 04 - Error and Noise (April 12, 2012).mp4

155.6 MB

/Slides/

iTunesU_Lecture03_April_10.pdf

1.1 MB

iTunesU_Lecture04_April_12.pdf

1.0 MB

iTunesU_Lecture11_May_08.pdf

761.5 KB

iTunesU_Lecture13_May_15.pdf

757.0 KB

iTunesU_Lecture09_May_01.pdf

745.9 KB

iTunesU_Lecture12_May_10.pdf

644.0 KB

iTunesU_Lecture02_April_05.pdf

527.4 KB

iTunesU_Lecture05_April_17.pdf

509.1 KB

iTunesU_Lecture15_May_22.pdf

489.7 KB

iTunesU_Lecture17_May_29.pdf

449.0 KB

iTunesU_Lecture07_April_24.pdf

418.4 KB

iTunesU_Lecture10_May_03.pdf

400.4 KB

iTunesU_Lecture08_April_26.pdf

373.5 KB

iTunesU_Lecture06_April_19.pdf

303.4 KB

iTunesU_Lecture01_April_03.pdf

300.7 KB

iTunesU_Lecture18_May_31.pdf

249.3 KB

iTunesU_Lecture14_May_17.pdf

248.6 KB

 

Total files 35


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