successful-machine-learning-development-requires-a-new-paradigm-thought-leaders

Initiatives using machine learning cannot be treated in the same manner as projects involving conventional software. It's imperative to move quickly so that you can test things, fix issues and test them again. In other words, you must be able to fail quickly – and do so early on in the process. Waiting until later in this process to find issues can end up being very expensive and time-consuming. When developing software using the traditional method, you use decision logic.