Spark Machine Learning Samples for IBM Bluemix

Below is a quick overview of samples that demonstrate how to use the machine learning capabilities in Spark on IBM Bluemix. David Taieb posted the slides of his hands-on session how to predict flight delays based on historical data and whether predictions. The sample uses the machine learning algorithms Logistic Regression, Random Forrest, Decision Tree and Naive Bayes. When playing rock-paper-scissor everyone has his/her own strategies, e.g. The sample recognizes these patterns and leverages the patterns and history data to predict moves (via the FPGrowth algorithm).