http://learning.stat.purdue.edu/mlss/ 2013-05-19T17:05:09-04:00 http://learning.stat.purdue.edu/mlss/ http://learning.stat.purdue.edu/mlss/lib/tpl/mlsstpl/images/favicon.ico text/html 2011-12-03T11:37:55-04:00 vishy http://learning.stat.purdue.edu/mlss/mlss/slides?rev=1322930275&do=diff All videos are available from <http://www.youtube.com/playlist?list=PL2A65507F7D725EFB&feature=view_all>. For individual videos please see below. * Large-scale Machine Learning and Stochastic Algorithms: [Leon Bottou] * Divide and Recombine (D&R) for the Analysis of Big Data: [Bill Cleveland] * Mining Heterogeneous Information Networks: [Jiawei Han] * Classic and Modern Data Clustering: [Marina Meila] * Introduction to supervised, unsupervised and partially-supervised training a… text/html 2011-12-03T11:35:13-04:00 vishy http://learning.stat.purdue.edu/mlss/mlss/topbar?rev=1322930113&do=diff * Home * Program * Timetable * Speakers * Abstracts * Slides and Videos * Panel * Poster Session * Labs * Social Events * Changes * Exit Survey * Application * Registration * Scholarships text/html 2011-12-03T11:27:26-04:00 vishy http://learning.stat.purdue.edu/mlss/mlss/abstract?rev=1322929646&do=diff Machine Learning for Statistical Genetics (by Karsten Borgwardt)[[Slides]] [Video] [Bio] In this course, I will give an introduction to the field of Machine Learning in Statistical Genetics. The grand challenge in this area is to develop algorithms and statistical tests that allow biological and medical researchers to explore the genetic basis of common phenotypic traits in humans, animals and plants. text/html 2011-12-02T22:29:56-04:00 vishy http://learning.stat.purdue.edu/mlss/mlss/start?rev=1322882996&do=diff Dates: Venue: Hosts:Statistics Computer Science Additional support:Discovery Park <http://www.youtube.com/playlist?list=PL2A65507F7D725EFB&feature=view_all> . [Photo credits: My Truong] Photo credits: My D. Truong More photos can be found here text/html 2011-06-30T13:47:17-04:00 vishy http://learning.stat.purdue.edu/mlss/mlss/photos?rev=1309456037&do=diff We prefer that you link to the original pictures on this page. However, if you would like to repost and print the photos then you can do so under the following two conditions: * The photos are unmodified except for minimal cropping required to maintain a desired aspect ratio; * The photographer acknowledgement is intact.