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

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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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