The Knewton Blog

This month we have Jeremy Stanley from Collective presenting “But does it really work? Using pervasive experimentation & visualization to hone machine learning on big data.”

Abstract:
How do you know if your machine learning system works? You’ve tested it on a held out set of data, but is that enough? What if you have 1,000s of models in production influencing billions of decisions in a chaotic, real time environment? What if you have to convince other internal departments critical to implementation success, your CEO, your customers?