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There are copious tutorials, demos and walk-throughs that illustrate how to apply machine learning algorithms to perfectly-manicured data sets. But this doesn’t reflect real-life situations for those who have big opportunities to find big value. What happens when your dataset is massive and unformatted, such as the internet search history for…everyone? Maybe you built some very good models - now what?
This session takes place at the busy intersection of Big Data, Machine Learning and Business Problems. Being exposed to Apache Spark and its quickly maturing set of machine learning tools, you’ll see how to 1) generate powerful modeling features, 2) apply the appropriate ML algorithms and 3) be able to generate value every time. You’ll also leave with the code to reproduce the results and start creating your own value.
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