Start your next AI project with a failing test

I found that many university courses, books or online training either taught me how to build software or how to train machine learning (ML) models, but few blended both worlds. Having worked on various AI projects in the IBM Garage, I want to share how my experience in using test-driven development (TDD) helped me build better AI-powered applications. This blog post uses an AI-powered web app as an example on how to apply TDD in AI projects. In the web app people can upload images taken inside and outside of houses. Then the website will display whether the photo was taken outside or, if taken inside, in which room.