statistical machine learning cmu spring2016
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Torrent File Content (39 files)
statistical_machine_learning_cmu_spring2016
clustering.pdf -
clustering.pdf -
15.87 MB
Concentration-of-Measure.pdf -
275.61 KB
densityestimation.pdf -
1.39 MB
dimension_reduction.pdf -
9.79 MB
functionspaces.pdf -
219.35 KB
GraphicalModels.pdf -
1.9 MB
Lecture 01 - Review-zcMnu-3wkWo.mp4 -
221.3 MB
Lecture 02 - Function Spaces-M6628Cm12YQ.mp4 -
283.42 MB
Lecture 03 - Concentration of Measure-WalRR9lcZcc.mp4 -
575.14 MB
Lecture 04 - Concentration of Measure-wbyKfeQMrTc.mp4 -
1.36 GB
Lecture 05 - Linear Regression-eltYWhGh9wY.mp4 -
1.4 GB
Lecture 06 - Nonparametric Regression-e9mN6UH5QIQ.mp4 -
1.46 GB
Lecture 07 - Nonparametric Regression-XB6uu-sHUMM.mp4 -
671.06 MB
Lecture 08 - Trend filtering-IXvTUiYB1Ec.mp4 -
1.51 GB
Lecture 09 - Linear Classification-aB3P4yGvEOE.mp4 -
1.53 GB
Lecture 10 - Nonparametric Classification-3we__CnE-xQ.mp4 -
1.24 GB
Lecture 11 - Minimax Theory-25mNchtk9eE.mp4 -
1.49 GB
Lecture 12 - Minimax Theory-UdoS-K2puu4.mp4 -
1.39 GB
Lecture 13 - Nonparametric Bayes--8kShV_24tM.mp4 -
1.14 GB
Lecture 14 - Boosting-cWpYY2yqYmU.mp4 -
1.45 GB
Lecture 15 - Clustering-SRk90fwsZGQ.mp4 -
741.44 MB
Lecture 16 - Clustering-JhR6KdqQAxs.mp4 -
742.88 MB
Lecture 17 - Clustering-D4kJkL3fyAg.mp4 -
1.51 GB
Lecture 18 - Graphical Models-9z0gebvwb3k.mp4 -
661.6 MB
Lecture 19 - Graphical Models-OcFMSWQstsE.mp4 -
1.47 GB
Lecture 20 - Graphical Models-xNh1s6nql30.mp4 -
815.9 MB
Lecture 21 - Graphical Models-z4q8DMB6cXk.mp4 -
1.46 GB
Lecture 22 - Dimension Reduction-xtgayLRW5RM.mp4 -
1.76 GB
Lecture 23 - Dimension Reduction & Random Matrix Theory-3qRVzS-7MOs.mp4 -
812.58 MB
Lecture 24 - Random Matrix Theory & Differential Privacy-ymqZMAvaVpw.mp4 -
656.05 MB
linearclassification.pdf -
2.32 MB
LinearRegression.pdf -
253.43 KB
minimax.pdf -
344.78 KB
nonparbayes.pdf -
306.16 KB
nonparclass.pdf -
318.25 KB
NonparRegression.pdf -
635.69 KB
random_matrix_theory.pdf -
186.39 KB
Review.pdf -
151.23 KB
syllabus.pdf -
115.91 KB
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