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Data Agility—A Journey to Advanced Analytics and Machine Learning at Scale

Data Agility—A Journey to Advanced Analytics and Machine Learning at Scale

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This talk will walk you through the typical workflow of a data scientist or a data analyst at Uber, how they get access to Uber’s Big data and fast data sources for ad hoc and experimental analysis, how the data platforms will make it easy to discover datasets, run interactive queries against our petabyte scale data lake to identify the features you’re interested in, wrangle and prepare data for advanced analytics and machine learning. Our platforms also provide capabilities to do iterative machine learning and deep learning training seamless on single nodes and distributed on our Big data and GPU clusters, analyze, visualize and share the results of their experiments with colleagues and peers to get feedback, and even productionize data analytics jobs and ML models all without a degree in CS. Interested? Come, learn how Uber’s Big data platforms and Data science workbench put the power of Spark in the hands of our Data scientists and data analysts for advanced analytics and ML/DL use cases.
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