Machine learning methods applied to big data

There has been an upsurge in machine learning methods in recent years. Growing evidence suggests that machine learning is what a lot of people do with the big data they have accumulated. Like any complex undertaking, it is worthwhile to break it down into component parts. That is the objective of this episode of the Talking Data podcast, in which TechTarget reporters Jack Vaughan and Ed Burns discuss the evolution of machine learning through the lens of technologies employed and end-use applications. Among use cases cited are risk estimation in insurance, credit scoring and digital ad placement.