From Zero to Machine Learning in Less than Seven Minutes by Charles Parker.
From the post:
Here at BigML, we do a lot of work trying to make machine learning accessible. This involves a lot of thought about everything from classification algorithms, to data visualization, to infrastructure, databases, particle physics, and security.
Okay, not particle physics. But definitely all of that other stuff.
After all that thinking, our hope is that we’ve built something that non-experts can use to build data-driven decisions into their applications and business logic. To get you started, we’ve made a series of short videos showing the key features of the site. Watch and learn. Machine learning is only seven minutes away.
An impressively done “…less than seven minutes. Watch all the videos and in particular watch for the “live pruning slider.” Worth the time you will spend on the videos.
It elides over many of the difficulties found in machine learning, but isn’t that part of being a service? That is if you tooled this by hand, there would be a lot more detail and choices at every turn.
By reducing the number of options and choices, as well as glossing over some of the explanations, this service may bring machine learning to a larger user population.
What would it look like to do something similar for topic maps?
Thoughts?