Name: Regularization Methods for Machine Learning 2016
Creator: RegML
Published: 2016-09-08 16:51:35
License: https://academictorrents.com/nolicensespecified

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493251615310f9b6ae1f483126292378137074cd

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4.59GB (4,589,105,323 bytes)

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2016-09-08 16:51:35

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multi

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regularization_methods_for_machine_learning_2016

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16 files

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Class 1 - Statistical Learning Theory-E1bIqR8Bqr0.mkv	816.82MB
Class 2 - Tikhonov regularization and kernels-xevu1vRdX6w.mp4	576.41MB
Class 3 - Early Stopping and Spectral Regularization-D4C0GfbV4kE.mkv	508.79MB
Class 4 - Regularization for multi-task learning-FX9wIzyhGSA.mp4	392.28MB
Class 5 - Sparsity based regularization-ItfAmoSZRJs.mp4	647.77MB
Class 6 - Structured sparsity-uusYjnAhH98.mkv	659.39MB
Class 7 - Dictionary learning-mqDzeVsiyig.mkv	488.30MB
Class 8 - Deep learning-vRJllrpBao0.mp4	484.25MB
lectures/lec3.pdf	244.75kB
lectures/lec4.pdf	5.91MB
lectures/lec5.pdf	430.89kB
lectures/lec6.pdf	238.18kB
lectures/lec7.pdf	1.36MB
lectures/lec8.pdf	4.60MB
lectures/lect1.pdf	1.80MB
lectures/lect2.pdf	522.21kB

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Regularization Methods for Machine Learning 2016 RegML

Regularization Methods for Machine Learning 2016
RegML