The greater promise of Big Data lies in doing new things that were previously not possible. One major class of new things is adding intelligence to large-scale systems. This session will present a survey of how machine learning can be applied to real-life situations without having to get a PhD in advanced mathematics. These systems can be built today from open source components to increase business revenues by understanding what customers need and want. Real world examples of best practices and pitfalls in machine learning will be provided including practical ways
to build maintainable, high performance systems.