Speaker

Christopher Ré, Associate Professor at Stanford

Christopher Ré

Associate Professor, Stanford

I’m an associate professor in the InfoLab who is affiliated with the Statistical Machine Learning Group, PPL, and SAIL (bio). I work on the foundations of the next generation of data analytics systems. These systems extend ideas from databases, machine learning, and theory, and our group is active in all areas. A major application of our work is to make it dramatically easier to build high-quality machine learning systems to process dark data including text, images, and video, e.g., Snorkel.

Sessions

Snorkel: Dark Data and Machine Learning

Building applications that can read and analyze a wide variety of data may change the way we do science and make business decisions. However, building such applications is challenging: real world data is expressed in… Read more