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==Resources== * [[Machine Learning]] * [https://pslcdatashop.web.cmu.edu/KDDCup/rules_data_format.jsp KDD Rules and Data Format] * [http://cran.r-project.org/ R language] * [http://www.csie.ntu.edu.tw/~cjlin/libsvm/ libsvm] * [http://www.cs.waikato.ac.nz/ml/weka/ Weka] * [http://www.kdnuggets.com/datasets/competitions.html List of other competitions in which we could engage] * [[Machine Learning/Hadoop | Hadoop]] * [http://lucene.apache.org/mahout/ Mahout -- machine learning libraries for Hadoop] * [http://www.cloudera.com/videos/introduction_to_pig So-so intro to Pig Video] * [http://s3.amazonaws.com/awsVideos/AmazonElasticMapReduce/ElasticMapReduce-PigTutorial.html An AWESOME intro to Pig on Elastic Map Reduce!] * [http://hadoop.apache.org/pig/ Pig language] * [http://hadoop.apache.org/pig/docs/r0.3.0/piglatin.html Pig Latin Manual] * [http://www.cloudera.com/ Cloudera -- see videos for Hadoop intro] * [http://github.com/voberoi/hadoop-mrutils Vikram's awesome Hadoop/EC2 scripts] * [https://www.noisebridge.net/mailman/listinfo/ml Our mailing list] * [http://www.s3fox.net/ S3Fox] * [[Machine_Learning/SqliteImport | Importing data into Sqlite]] for SQL'ing the data * [[Machine_Learning/OmniscopeVisualization | Visualizing Sqlite data in Omniscope]] for understanding the data * [http://swarmfinancial.com/ec2mapping.zip Chance mapping dataset for Vikram's EC2 presentation]
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