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Many predictive analytics problems involve working with large data sets that aren't manageable on your local client machine or even on a single server. Microsoft Azure provides a collection of services that allow you to store, transform, and analyze big data. In this webinar, we will discuss a case study using NY city taxi data and cover: • Storing and manipulating large data sets • Using Azure ML and the Learning with Counts algorithm to train a predictive model with large data sets • How we created a model to predict tips on NYC Taxi rides using Azure storage, HDInsight and Azure ML
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