Frequently Asked Questions
We have identified common use cases, algorithms used for solving these use cases within the AWS stack and common patterns. This site is a searchable catalog of code snippets that can be used as lego blocks to build a working Machine Learning model. The goal of this project (the Pythia workflow and this website) is to provide a least resistance path for building a Machine Learning PoC.
Can there be better algorithms? better PoCs? better architectures to do the same? Yes, for sure! But we believe that this gets us to a working model faster than any of those methods since it involves generic, bite-sized code samples that you can use as lego blocks to build up your sample ML application. We would love your contribution to make this better.