Better Machine Learning Through Data
Saleema Amershi is a Researcher in the Machine Teaching Group at Microsoft Research. “Machine teaching” is machine learning with a focus on increasing user, or “teacher,” productivity and effectiveness. Saleema’s research lies at the intersection of human-computer interaction and machine learning. In particular, she creates tools to support both practitioner and end-user interaction with machine learning systems. Examples include general purpose tools to support data scientists and machine learning experts building reusable predictive models for production use and application specific tools to support the average person interactive with machine learning in their everyday lives (e.g., automation technologies and recommender systems). Saleema received her Ph.D. in computer science from the University of Washington’s Computer Science & Engineering department in 2012.