[nostrademons]

Already exists:

https://aws.amazon.com/machine-learning/

Problem is, writing an effective machine-learning model already doesn't require knowing the algorithms well. It requires knowing your data well. You can provide tools for this, and AML does, but there's no substitute for actually working with the data day-in-and-day-out and developing an intuition for it.

(Deep learning promises to change that a bit, since the relevant features are extracted for you by the algorithm and you don't need to do any particular data cleaning or feature extraction work. You still need to understand your data well to understand how to train the model, though, and how to apply primitive ML operations - classification, regression, clustering, etc. - to a real-world problem.)

[mindcrime]

You still need to understand your data well to understand how to train the model, though, and how to apply primitive ML operations - classification, regression, clustering, etc. - to a real-world problem.)

And this is the kind of stuff that I believe can be done by people who don't necessarily need phd's in Stats or ML. A decent grounding in statistics / ML, and good domain knowledge should be enough to support using pre-packaged algorithms to solve business problems.