Machine learning algorithm for an artificial neural network for building a model of managerial decision-making when developing a marketing strategy

Abstract

The article describes the application of the machine learning method, namely the backpropagation algorithm, in order to optimize managerial decision making when developing a marketing strategy. A qualitative analysis of data processing has been carried out, which proves the relevance of using the backpropagation method in marketing interpretation. Using the example of a task with the choice of hashtags for social media, a five-step model has been built step by step, which, after passing through many iterations of machine learning algorithms, could automate the solution of problems similar to the original one. The step-by-step process of machine learning has been described in terms of logic, mathematical functioning and programming. KPIs to assess the accuracy of the task by the model have been highlighted. An example of comparing the base KPIs of two models to select a more accurate one has been given