There is a consensus that the best way to forecast customer churn is by statistical methods. It is, however, unclear when which statistical method is more appropriate. This study aims to provide a set of guidelines to data scientists and researchers who are interested in optimizing statistical...

Chapter 1: A Framework for Mining of Text Data with the Application of Side Information -- Chapter 2: Developing a framework for career in AI, ML and Data Science -- Chapter 3: Do You Have an AI Mindset? Development and Validation of AI Mindset Questionnaire -- Chapter 4: Data Mining and...

Despite the clear success of forecast combination in many economic environments, several important issues remain incompletely resolved. The issues relate to selection of the set of forecasts to combine, and whether some form of additional regularization (e.g., shrinkage) is desirable. Against...

Despite the clear success of forecast combination in many economic environments, several important issues remain incompletely resolved. The issues relate to selection of the set of forecasts to combine, and whether some form of additional regularization (e.g., shrinkage) is desirable. Against...

Forecasting of macroeconomic indicators is a challenging task, compounded by complex processes and dynamic nature of the macroeconomy. With recent advancements in computing power and the advent of data, machine learning methods have been explored as an alternative to traditional forecasting...