Whoever works with Machine Learning knows it's not easy to test. In this article, Violet Turri and Eric Heim propose a framework for validating ML requirements.
Half of the battle in testing isn’t how we test, it’s selling the idea that we should test in the first place.
Sometimes it's hard to convince the team about the importance of testing. Callum Akehurst-Ryan gives some practical advice on how to approach it.
Furthermore, Michael Bolton advises on how we should be Talking About Coverage.
Wondering what quality and testing strategy other companies follow? Stuart Thomas gives us some insights into how they do it at Zoopla.