The capacity to capture nonlinear patterns and an emphasis on prediction through ensemble learning are two advantages of machine learning (ML) technologies that can lead to effective applications in active portfolio management.
A researcher specializing in one discipline of AI may be largely useless in another. Machine Learning helps with data that make particular decisions.
