[pinkunicorn]

I am really amazed at the kind of things Amazon turns into a service. And this ML service is just wow'ing. I have fiddled with basic SVM's before, but this takes away the part of writing code and makes it sort of a end user product(you are still expected to know basics about ML). On the other hand, I also don't think this will take off very well. Maybe a few companies/startups who have cash in their pocket will use it/try it out, but the audience is really limited beyond that in my opinion.

[gallamine]

> Maybe a few companies/startups who have cash in their pocket will use it/try it out

Honestly, I'd see it the other way around. Small companies without a DS team might be drawn to this. I don't see how any company with a lick of sense would lock down their prediction model into AWS. They very clearly won't let you export your model once the training is done.

[minimaxir]

Small companies without a DS team will likely fall into the ML pitfalls which make the resulting analysis invalid.

[cfeduke]

> Maybe a few companies/startups who have cash in their pocket will use it/try it out

This would be really nice to use at my startup, but its cost prohibitive even on a very large budget.

I am setting up Spark Streaming to handle model creation and updates for recommendations based on what a user interacts with. If I were to even attempt something similar with this AWS service, its $10 for every 1 million predictions which isn't sustainable (not including the costs to create and update the model).

> but the audience is really limited beyond that in my opinion.

Definitely, largely as a result of cost. I would love to not have to worry about Spark in my infrastructure (its another piece...) but at this price the AWS service is just too expensive.

[Xorlev]

Worse than that, isn't it $0.10 per 1000? So $100 for 1 million predictions.

[cfeduke]

Hah yeah I realized that when I walked away. So expensive.