I enjoyed giving my “Intro to Amazon Machine Learning” talk at the AWS Denver Boulder meetup. (Shout out to an old friend and colleague who came out to see it.) I didn’t get through the whole pipeline demonstration (I didn’t get a chance to do the batch prediction), but the demo gods were kind and the demo went well.
We also had a good discussion. A few folks present had used machine learning before, so we talked about where AML made sense (hint, it’s not a fit for every problem). Also had some good questions about AML, about performance and pricing. One of the members shared a reinvent anecdote: the AML team looked at all the machine learning used in Amazon and graphed the use cases and solved for the most common ones.
The “Intro to Amazon Machine Learning” slides are up on SlideShare, and big thanks to the Meetup organizers.