OVERVIEW Python has become a very popular programming language and software ecosystem for work in Data Science, integrating support for data access, data processing, modeling, machine learning, and visualization. In…
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OVERVIEW XSEDE, along with the Pittsburgh Supercomputing Center is pleased to present a Hybrid Computing workshop. This 4 day event will include MPI, OpenMP, GPU programming using OpenACC and accelerators….
PostGIS, built on top of PostgreSQL, is the most powerful open-source relational database for managing spatial data. In this workshop we will cover the basic concept of spatial databases, learn…
This is the fifth workshop in a series of workshops we are offering this semester on the fundamentals of GIS. Each workshop covers one or two key elements of GIS…
The University of Michigan library system has licensed a large data set containing real estate transactions, deeds, and property tax records for the United States. The data were collected by…
Prof. Laura Balzano received an NSF CAREER award to support research that aims to improve the use of machine learning in big data problems involving elaborate physical, biological, and social phenomena. The…
Several University of Michigan researchers, including faculty affiliated with MIDAS, recently received support from the Chan Zuckerberg Initiative under its Human Cell Atlas project. The project seeks to create a…
Social and organizational life are increasingly conducted online through electronic media, from emails to Twitter feed to dating sites to GPS phone tracking. The traces these activities leave behind have…
A new partnership between the University of Michigan and Cavium Inc., a San Jose-based provider of semiconductor products, will create a powerful new Big Data computing cluster available to all…
HV Jagadish, a core MIDAS faculty member and Professor of Electrical Engineering and Computer Science, contributed as a co-author on an article on diversity in big data that appears in…
