Statistical Modeling: Focuses on understanding relationships between variables and testing hypotheses. It often involves assumptions about the data and model structure and is more concerned with inference and explanation.
Machine Learning: Emphasizes predictive accuracy and often uses complex models with fewer assumptions about data structure. It focuses on improving model performance through learning from data and optimizing algorithms.