This document is a 3-page conference paper about using machine learning techniques to improve wind turbine efficiency. It was presented at a conference in May 2021. The paper discusses how machine learning can be used to analyze operational data from wind turbines to detect early signs of maintenance issues or component failure. Detecting these issues early could help reduce downtime and maintenance costs for wind farms. The authors believe this approach has strong potential to increase wind turbine performance and lower the cost of wind energy production overall.