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Edi Bice

Applying Machine Learning to fraud prevention, financial markets, social media. Experience with Hadoop, Spark, R, sklearn, Titan/Cassandra/ElasticSearch, Weka, MOA ... all sorts of languages too Python, R, Java, C/C++, Scala, Groovy, Ruby+/-Rails

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1 Dynamic learning rates in XGBoost cross-validation Nov 18 '16
0 Multi target classification for different types of target variables Feb 9 '18

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