TypeName FilesAddedSizeDLs
Stanford CS229 - Machine Learning - Andrew Ng 20 2015-04-24 4.21GB 14,18887+ 0
Statistics 21 - 001 - Spring 2010 - UC Berkeley 25 2017-03-09 5.58GB 1,85420 1
The Analytics Edge [edX] Summer 2015 319 2019-01-27 3.07GB 1,08720 1
Caltech CS156 - Machine Learning - Yaser 54 2015-04-24 3.36GB 4,81016+ 1
MIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015 26 2016-09-09 41.06GB 1,09515+ 1
Statistical Machine Learning CMU Spring 2016 39 2018-03-22 28.19GB 1,62114+ 2
Statistics 21 - Fall 2009 - UC Berkeley 25 2017-03-09 4.27GB 70513 0
Large Scale Machine Learning - UToronto - STA 4273H Winter 2015 18 2016-09-08 3.15GB 1,19312+ 0
MIT Foundations of Computational and Systems Biology 7.91J 44 2016-10-27 4.09GB 66011+ 0
Public Health 241, 001 - Spring 2011 - UC Berkeley 38 2017-03-10 1.87GB 3959 0
Introducing R 1 2014-02-04 820.99kB 3,2647+ 0
10-715 Advanced Introduction to Machine Learning - CMU - Fall 2015 34 2016-09-10 111.18GB 7716+ 0
Multi-Target Regression with Rule Ensembles 1 2014-04-28 328.30kB 372+ 0
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels 1 2014-04-28 231.51kB 1482+ 0
Linear Regression With Random Projections 1 2014-04-28 586.31kB 541+ 0
An Improved GLMNET for L1-regularized Logistic Regression 1 2014-04-28 549.24kB 561+ 0
Trust Region Newton Method for Logistic Regression 1 2014-04-28 48.85kB 361+ 0
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach 1 2014-04-28 340.67kB 351+ 0
Model Selection in Kernel Based Regression using the Influence Function(Special Topic on Model Selection) 1 2014-04-28 264.41kB 401+ 0
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space (Kernel Machines Section) 1 2014-04-28 235.16kB 381+ 0