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HOW TO WRANGLE DATA FOR MACHINE LEARNING ON AWS

Machine learning outcomes are only as good as the data they are built upon, but preparing data for machine learning is a time-consuming process. The work of preparing data (data wrangling) for analytics can consume over 80% of the project effort.Data wrangling solutions running on Amazon Web Services (AWS) can help streamline machine learning applications so that your teams can focus on the work that really matters: creating accurate predictions that improve your products, services, and your organization's efficiency . Join our webinar to hear how Consensus, a Target-owned subsidiary, utilizes AWS and Trifacta to prepare data for use in fraud detection algorithms. You’ll learn how self-service automated data wrangling can save your organization time and money, and tips for getting started with Trifacta’s solution, built for AWS.