. More broadly, our results demonstrate how machine learning can be applied beyond prediction to further help generate novel …

This paper addresses the steep learning curve in Machine Learning faced by non-computer scientists, particularly social … adage ”once you understand OLS, you can work your way up to any other estimator,” and apply it to Machine Learning. Focusing … and fire some trailblazers to the forefront of AI and causal machine learning. …

demonstrate that machine learning (ML) can automatically satisfy these conditions due to its inherent inductive bias toward …

calibrate state‐of‐the‐art machine learning techniques and compare the results with econometric time series models. The … empirical assessment provides evidence that the application of machine learning techniques outperforms econometric benchmarks in …

Die Arbeit entwickelt systematisch ein Machine-Learning-Modell zur Prognose von Kundenabwanderungen im … Kunden. Das in einem Vergleich von insgesamt 15 Verfahren ausgewählte heterogene Machine-Learning-Ensemble nutzt eine …The report systematically develops a machine learning model for predicting customer churn in the promotional products …

jointly characterize constrained estimates and updating within a framework reminiscent of a machine learning algorithm …

This study introduces a novel approach to predicting global oil demand by integrating machine learning (ML) techniques …