Understanding How Machines Learn, Through Prototyping – Big Tomorrow

This is the second article in a larger series exploring the intersection of design and existing artificial intelligence technology through experiments, prototypes and concepts. We believe this is a critically important topic for the design community and beyond, so we're sharing what we learn along the way. Let's start by getting something out of the way: we're not machine learning experts -- we don't publish research about new algorithmic breakthroughs and we're not especially good at math. But we're curious about what to do with all the machine learning capability already floating around out in the world, and we're bullish about how far a'good enough' understanding can often take you. So how might non-experts begin to play with machine learning?