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. …

geometric Brownian motion (GBM) models, with that of machine learning algorithms, such as Random Forest, Support Vector Machine …, especially the CIR model. Additionally, this study demonstrated that the metrics of machine learning algorithms are relatively …'s value, which may overestimate their performance. In contrast, machine learning algorithms offer a more flexible approach and …