Researchers, including Stefanie Jegelka and Suvrit Sra, recently presented a new algorithm that makes the selection of diverse subsets much more practical.
Seven-week course launches February 5, 2018. This course was developed by over ten MIT faculty members at IDSS. It is specially designed for data scientists, business analysts, engineers, and technical managers looking to learn the latest theories and strategies to harness data.
Computational limitations of statistical problems have largely been ignored or simply overcome by ad hoc relaxations techniques.
The Statistics and Data Science Center is an MIT-wide focal point for advancing research and education programs related to statistics and data science. The Center was created in 2015 with the goal of formalizing and consolidating efforts in statistics at MIT. The Center’s academic mission is to host and develop new academic programs, from a minor to a PhD in statistics and data science.
Improved recommendation algorithm should work especially well when ratings data are “sparse.”
Seven-week course launches February 5, 2018. This course was developed by over ten MIT faculty members at IDSS. It is specially designed for da...
Web-based system automatically evaluates proposals from far-flung data scientists.