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Hadoop 101: Machine Learning in Big Data – Look Forward or Be Left Behind

Applying machine learning to Big Data in Hadoop is something all organizations want to do well but few actually achieve. For most, this means grabbing data, analyzing it, creating a model and using it for a while. It’s a start, but it’s not sufficient to meet the needs of a dynamic, rapidly-changing marketing environment. In the Hadoop Summit 2015 presentation below, Bill Porto, senior analytics engineer at RedPoint Global, will discuss why continual, adaptive optimization is key to maintaining a leadership position in the market. Through real-world examples, you will learn how to apply predictive modeling and optimization to harness the full power and potential of Hadoop. The slides for this presentation are available HERE.

 

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