In this episode of the Talking Data podcast, Ed Burns and I discuss use cases for machine learning. Vibrant application areas include insurance risk analysis, credit scoring, recommendation engines and digital ad placement. While machine learning does seem to undergird a lot of modern big data analytics work, implementations still remain largely the province of the advanced data scientist.  Machine learning methods have deep roots in statistics and artificial intelligence, and how quickly these methods can go mainstream remains a matter of conjecture. Check out podcast, and stay tuned.

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