際際滷shows by User: bigfoot00 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: bigfoot00 / Wed, 05 Oct 2011 09:40:26 GMT 際際滷Share feed for 際際滷shows by User: bigfoot00 Machine Learning with Hadoop /slideshow/ml-on-hadoopataol/9558432 mlonhadoopataol-111005094030-phpapp02
Sangchul Song and Thu Kyaw discuss machine learning at AOL, and the challenges and solutions they encountered when trying to train a large number of machine learning models using Hadoop. Algorithms including SVM and packages like Mahout are discussed. Finally, they discuss their analytics pipeline, which includes some custom components used to interoperate with a range of machine learning libraries, as well as integration with the query language Pig.]]>
Sangchul Song and Thu Kyaw discuss machine learning at AOL, and the challenges and solutions they encountered when trying to train a large number of machine learning models using Hadoop. Algorithms including SVM and packages like Mahout are discussed. Finally, they discuss their analytics pipeline, which includes some custom components used to interoperate with a range of machine learning libraries, as well as integration with the query language Pig.]]> Wed, 05 Oct 2011 09:40:26 GMT /slideshow/ml-on-hadoopataol/9558432 bigfoot00@slideshare.net(bigfoot00) Machine Learning with Hadoop bigfoot00 Sangchul Song and Thu Kyaw discuss machine learning at AOL, and the challenges and solutions they encountered when trying to train a large number of machine learning models using Hadoop. Algorithms including SVM and packages like Mahout are discussed. Finally, they discuss their analytics pipeline, which includes some custom components used to interoperate with a range of machine learning libraries, as well as integration with the query language Pig. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mlonhadoopataol-111005094030-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Sangchul Song and Thu Kyaw discuss machine learning at AOL, and the challenges and solutions they encountered when trying to train a large number of machine learning models using Hadoop. Algorithms including SVM and packages like Mahout are discussed. Finally, they discuss their analytics pipeline, which includes some custom components used to interoperate with a range of machine learning libraries, as well as integration with the query language Pig.
Machine Learning with Hadoop from Sangchul Song
]]> 7686 8 https://cdn.slidesharecdn.com/ss_thumbnails/mlonhadoopataol-111005094030-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-bigfoot00-48x48.jpg?cb=1558643343 Big Data, Machine Learning, Information Retrieval, Distributed Computing, Data Intensive Computing, Text Indexing / Searching, Digital Archives, Data Mining, SQL, NoSQL http://www.songfamily.us