An End-to-End Machine Learning Ecosystem in a Quarter

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Building a machine learning model is hard. Building and serving individual machine learning models for thousands of customers every single day is harder. Model training time must be kept to a minimum, memory constraints are exacerbated and the love and insight that one would usually apply to refining a single model must be automated and scaled. At Zendesk we successfully use pandas, scikit-learn, flask and hadoop to run a machine learning ecosystem that builds, tunes and serves account specific models via a

PyCon AU 2015

Australia's Conference for the Python Programming Community