Predictive models and AI and Machine Learning programs are created in a similar way - this Datamine Guide outlines (at a high level) the process for developing such models. It is designed for people who need to understand the process behind developing predictive and AI models because they interface in some way with technical analysts. This could be as a business user who interacts with the analytics team, a person involved with the preparation of data sets or a user of the outputs from a modelling process. This Guide does not instruct people on how to build these models, but it covers the benefits of AI and predictive modelling, the steps involved in the creation of the model and the practical issues to consider.
