Visualization for Machine Teaching
We explore ways to help people easily build machine learning models by leveraging information visualization. We aim to effectively support understanding and debugging of machine learning models.
Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data (video figure)
Analysts need interactive speed for exploratory analysis, but big data systems are often slow. With sampling, data systems can produce approximate answers fast enough for exploratory visualization, at the cost of accuracy and trust. We…
WinMine Toolkit
The WinMine Toolkit is a set of tools for Windows 2000/NT/XP that allow you to build statistical models from data. The majority of the tools are command-line executables that can be run in scripts. Click…
Overcoming Fundamental Inefficiencies in the Representation of Data in Conventional Architectures
Society has become so dependent on computing power that any inefficiencies in the way that we process information can considerably impede productivity and quality of life. Three emerging trends pose challenges to the design of…
Data Science in Education
In an effort to empower more data-driven thinking, Microsoft is working with UC Berkeley to help realize its vision of giving every undergraduate easy access to the university’s Data Science Education Program. Read more on…