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이 비디오는 한국어에서 사용할 수 없습니다. 이 비디오는 English (US)에서 사용할 수 있습니다.

Learn How to Work with Large datasets to Build Predictive Models with Microsoft’s Analytics Toolkit

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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