How to get the most out of machine learning systems


Focusing on supervised machine learning, there is a task at hand and there is labelled data to train a machine learning system. This applies to many highly specialised domains where data is unique and, in fact, the importance of data modelling and subject matter experts is something that should not be overlooked. The phrase'garbage in, garbage out' has almost become synonymous with the world of supervised machine learning systems. By creating a domain/data model and utilising subject matter experts throughout the development process, the machine learning system will almost certainly guarantee success.