14 Requirements to Make your Machine Learning Project a Success (Part II)

Sometimes we forget that developing and implementing machine learning models to solve real problems is… "hard," to say the least. It's not a surprise then that the success of a project that involves it does not happen by chance. Some may even say that there's no way to guarantee it, but I can assure you that we can always take some measures to increase our odds of succeeding. In this regard, throughout part I of this article we presented the most relevant management and development requirements that need to be addressed while approaching a machine learning project in order to avoid an undesirable outcome. For this purpose, 2 sets of requirements were provided together with a detailed explanation of the first one.