MIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015
Center for Brains, Minds and Machines (CBMM)

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9.520 - 09_09_2015 - Class 01 - Prof. Tomaso Poggio - The Course at a Glance-6AWZS4Ho2Z8.mp41.90GB
9.520 - 09_14_2015 - Class 02 - Prof. Tomaso Poggio - The Learning Problem and Regularization-iO919hIhO-w.mp4873.84MB
9.520 - 09_16_2015 - Class 03 - Carlo Ciliberto & Charlie Frogner - Math Camp-DTVRj8LJjZo.mp41.55GB
9.520 - 10_05_2015 - Class 08 - Prof. Lorenzo Rosasco - Regularized Least Squares-uy4fM16pKPo.mkv1.79GB
9.520 - 10_07_2015 - Class 09 - Prof. Lorenzo Rosasco - Iterative Regularization via Early Stopping-0cBWfVsxjUE.mkv1.71GB
9.520 - 10_13_2015 - Class 10 - Prof. Lorenzo Rosasco - Sparsity Based Regularization-mYJilxJZ7EI.mkv1.49GB
9.520 - 10_14_2015 - Class 11 - Prof. Lorenzo Rosasco - Proximal Methods-9PRqrZLQktA.mkv1.68GB
9.520 - 10_19_2015 - Class 12 - Prof. Lorenzo Rosasco - Structured Sparsity Regularization-c0rQyTkd13I.mkv1.75GB
9.520 - 10_21_2015 - Class 13 - Prof. Lorenzo Rosasco - Multiple Kernel Learning-QdXqMUVr4Xo.mkv1.64GB
9.520 - 10_26_2015 - Class 14 - Charlie Frogner - Generalization Bounds, Intro to Stability-25D8BfFYk7Y.mkv1.17GB
9.520 - 10_28_2015 - Class 15 - Charlie Frogner - Stability of Tikhonov Regularization-o7WpkR21N2o.mkv1.32GB
9.520 - 11_16_2015 - Class 19 - Prof. Lorenzo Rosasco - Regularization for Multi-Output Learning I-SXcKHyz6Rhs.mkv1.75GB
9.520 - 11_18_2015 - Class 20 - Carlo Ciliberto - Regularization for Multi-Output Learning II-0HSxR_REzV0.mkv1.86GB
9.520 - 11_23_2015 - Class 21 - Prof. Lorenzo Rosasco - Learning Data Representation - from Fourier...-Ai9B9rKzY1Y.mkv1.60GB
9.520 - 11_25_2015 - Class 22 - Prof. Lorenzo Rosasco - Learning Data Representation - Autoencoders...-mO3HJhEyR8c.mkv1.78GB
9.520 - 11_25_2015 - Class 23 - Prof. Lorenzo Rosasco - Learning Data Representation...-VfXAi3nasIE.mkv1.83GB
9.520 - 11_2_2015 - Class 16 - Prof. Lorenzo Rosasco - Consistency, Learnability and Regularization-vSqwlC5prtw.mkv1.71GB
9.520 - 11_4_2015 - Class 17 - Prof. Lorenzo Rosasco - On-line Learning-P11YKe83oOY.mkv1.74GB
9.520 - 11_9_2015 - Class 18 - Prof. Lorenzo Rosasco - Manifold Regularization-f6pb4RqgqE4.mkv1.77GB
9.520 - 12_2_2015 - Class 24 - Prof. Tomaso Poggio - Learning Data Representation - Deep Theory I-6rTveDIT_go.mkv1.50GB
9.520 - 12_7_2015 - Class 25 - Dr. Gemma Roig - Learning Data Representation - DNN Tips and Tricks-XFMVFfKfSfs.mkv897.56MB
9.520 - 12_9_2015 - Class 26 - Prof. Tomaso Poggio - Learning Data Representation - Deep Theory II--4MbMDCeyh4.mkv918.65MB
9.520 - 9_21_2015 - Class 04 - Prof. Lorenzo Rosasco - Reproducing Kernel Hilbert Spaces-KZZD5sBwGCA.mkv1.71GB
9.520 - 9_23_2015 - Class 05 - Prof. Lorenzo Rosasco - Dictionaries, Feature Maps and Mercer Theorem-SRJF8ZhjfBw.mkv1.73GB
9.520 - 9_28_2015 - Class 06 - Prof. Lorenzo Rosasco - Tikhonov Regularization and the ...-7XsJxCMnLm4.mkv1.65GB
9.520 - 9_30_2015 - Class 07 - Prof. Lorenzo Rosasco - Logistic Regression and Support ...-19mTiF0MmyA.mkv1.72GB
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