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Join us to brainstorm about tools and techniques to enhance the experience of exploratory data science and machine learning on big data.

Be it Zeppelin or IPython notebook, Pyspark or SparkR or ML or MLLib, we would like to hear from you on which of these technologies you have tried out, or are in the process of evaluating, your experiences and war stories, what tool(s) feel are missing, and what predictive analytics problems you are solving today or foresee solving in the near future that we can help you solve as a community.

Come and join other committers, contributors, users & practitioners to discuss Zeppelin, Spark and Data Science

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