Torrent Contents Size: 3.23 GB
Learning From Data: Introductory Machine Learning Course [2012, ENG]
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Lecture 01 - The Learning Problem (April 3, 2012).mp4
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MP4
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201.32 MB
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Lecture 02 - Is Learning Feasible (April 5, 2012).mp4
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185.31 MB
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Lecture 03 -The Linear Model I (April 10, 2012).mp4
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175.06 MB
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Lecture 04 - Error and Noise (April 12, 2012).mp4
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148.4 MB
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Lecture 05 - Training Versus Testing (April 17, 2012).mp4
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185.76 MB
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Lecture 06 - Theory of Generalization (April 19, 2012).mp4
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182.23 MB
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Lecture 07 - The VC Dimension (April 24, 2012).mp4
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168.04 MB
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Lecture 08 - Bias-Variance Tradeoff (April 26, 2012).mp4
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176.18 MB
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Lecture 09 - The Linear Model II (May 1, 2012).mp4
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206.51 MB
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Lecture 10 - Neural Networks (May 3, 2012).mp4
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193.08 MB
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Lecture 11 - Overfitting (May 8, 2012).mp4
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184.75 MB
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Lecture 12 - Regularization (May 10, 2012).mp4
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173.94 MB
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Lecture 13 - Validation (May 15, 2012).mp4
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205.24 MB
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Lecture 14 - Support Vector Machines (May 17, 2012).mp4
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178.48 MB
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Lecture 15 - Kernel Methods (May 22, 2012).mp4
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188.44 MB
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Lecture 16 - Radial Basis Functions (May 24, 2012).mp4
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183.24 MB
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Lecture 17 - Three Learning Principles (May 29, 2012).mp4
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186.46 MB
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Lecture 18 - Epilogue (May 31, 2012).mp4
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176.42 MB
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Slides
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