Statistical Machine Learning CMU Spring 2016
Larry Wasserman

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Folderstatistical_machine_learning_cmu_spring2016
Num files39 files
File list [Hide list]
clustering.pdf 16.64MB
Concentration-of-Measure.pdf 282.22kB
densityestimation.pdf 1.45MB
dimension_reduction.pdf 10.27MB
functionspaces.pdf 224.61kB
GraphicalModels.pdf 1.99MB
Lecture 01 - Review-zcMnu-3wkWo.mp4 232.05MB
Lecture 02 - Function Spaces-M6628Cm12YQ.mp4 297.19MB
Lecture 03 - Concentration of Measure-WalRR9lcZcc.mp4 603.08MB
Lecture 04 - Concentration of Measure-wbyKfeQMrTc.mp4 1.47GB
Lecture 05 - Linear Regression-eltYWhGh9wY.mp4 1.51GB
Lecture 06 - Nonparametric Regression-e9mN6UH5QIQ.mp4 1.57GB
Lecture 07 - Nonparametric Regression-XB6uu-sHUMM.mp4 703.65MB
Lecture 08 - Trend filtering-IXvTUiYB1Ec.mp4 1.63GB
Lecture 09 - Linear Classification-aB3P4yGvEOE.mp4 1.64GB
Lecture 10 - Nonparametric Classification-3we__CnE-xQ.mp4 1.33GB
Lecture 11 - Minimax Theory-25mNchtk9eE.mp4 1.61GB
Lecture 12 - Minimax Theory-UdoS-K2puu4.mp4 1.49GB
Lecture 13 - Nonparametric Bayes--8kShV_24tM.mp4 1.22GB
Lecture 14 - Boosting-cWpYY2yqYmU.mp4 1.56GB
Lecture 15 - Clustering-SRk90fwsZGQ.mp4 777.46MB
Lecture 16 - Clustering-JhR6KdqQAxs.mp4 778.96MB
Lecture 17 - Clustering-D4kJkL3fyAg.mp4 1.62GB
Lecture 18 - Graphical Models-9z0gebvwb3k.mp4 693.74MB
Lecture 19 - Graphical Models-OcFMSWQstsE.mp4 1.58GB
Lecture 20 - Graphical Models-xNh1s6nql30.mp4 855.54MB
Lecture 21 - Graphical Models-z4q8DMB6cXk.mp4 1.57GB
Lecture 22 - Dimension Reduction-xtgayLRW5RM.mp4 1.89GB
Lecture 23 - Dimension Reduction & Random Matrix Theory-3qRVzS-7MOs.mp4 852.05MB
Lecture 24 - Random Matrix Theory & Differential Privacy-ymqZMAvaVpw.mp4 687.92MB
linearclassification.pdf 2.43MB
LinearRegression.pdf 259.51kB
minimax.pdf 353.06kB
nonparbayes.pdf 313.51kB
nonparclass.pdf 325.89kB
NonparRegression.pdf 650.95kB
random_matrix_theory.pdf 190.86kB
Review.pdf 154.86kB
syllabus.pdf 118.69kB
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