Anon is an automated machine learning cloud service. It delivers a data scientist as a service, at a fraction of the costs, without needing to have machine learning knowledge.

Do you require the people to upload the data to you or you implemented some mechanism of differential privacy?

@bogomep For the POC stage the data needs to be uploaded and stored for the duration of the training loop. In the future, this would be also available as a service deployable on the customer's premises for keeping the data in-house.

Hey hunters, We have all heard about AI, machine learning, and the wonders they can do. But we also know that they involve lots of algorithms and maths, being hard to master. Our customers, startups, and small companies often don't have the resources to hire a data scientist for analyzing their data. Thus, they often lose insights by not looking deep enough into it and risk not going from good to great because of this. Using Anon, an automated machine learning cloud service, they could get the same value out, at a fraction of the costs, without needing to have machine learning knowledge. They drop the data, set the goals and the automated solution finds the perfect models, which they receive later, in their inbox, ready to use. The solution is backed by research, innovates by automating the conventional machine learning flow, drops the costs considerably, and provides any startup with the tools needed to transform data into value for their customers. Give it a shot: anon.antonmihai.com/cloud

Interesting prospect, lowering the barrier to entry for getting meaningful output from ML is potentially game changing.

this is a good platform, Will try this