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Wisconsin Institute for Discovery
Wisconsin Institute for Discovery
at UW-Madison
 
  • About WID
    • Mission, Vision, and Diversity
    • Contact & Location
    • Discovery Partnership
    • FAQ
    • For the Media
    • Facilities
    • 10 Years of Discovery
  • People
    • WID Faculty
    • Discovery Fellows
    • BADGRS @ WID
    • Catalysts for Science Policy
    • Kohler Fellows
  • Research
    • Expertise
      • Complex Systems
      • Data Science
      • Emerging Technologies
      • Precision Medicine
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      • Data Science Hub
      • Illuminating Discovery Hub
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        • Epigenetics Hub
        • Microbiome Hub
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Tag: machine learning

Machine learning uses algorithms to build analytical models, helping computers “learn” from data. It can now be applied to huge quantities of data to create exciting new applications. Researchers at WID are developing new methodology and theory for extracting useful information from data which may be noisy or high-dimensional, contain missing elements, or come from a variety of different sensors or streaming input.

Machine learning at WID plays a key role in problems as diverse as understanding the immune system, finding the funniest cartoon captions, and developing driverless cars.

Machine learning is an important component of WID’s Data Science Hub.

Researchers Search for New Ways to Balance Big Data and Privacy
Featured Science

Researchers Search for New Ways to Balance Big Data and Privacy

December 5, 2014 September 5, 2017  big data, ethics, health care, machine learning, optimization

How can researchers extract useful information from patient data to develop life-saving treatments while making sure records stay private and protected? A WID collaboration looks for an answer.

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Closing the Loop on Big Data… One Beer at a Time
Featured Science

Closing the Loop on Big Data… One Beer at a Time

October 9, 2013 January 29, 2020  big data, machine learning, optimization

WID researchers develop algorithms for many applications and industries, but one side project boasts a more playful goal: Mapping brew preferences.

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Tools for Discovery: Sushmita Roy
Tools for Discovery

Tools for Discovery: Sushmita Roy

July 9, 2013 April 24, 2019  complex biological systems, gene editing, machine learning, software, visualization

Systems Biology scientist Sushmita Roy finds and predicts trends in biological networks. Her toolkit includes computer science programs, blogs and other bright minds in the Discovery Building.

More"Tools for Discovery: Sushmita Roy"
Tools for Discovery: Jordan Ellenberg
Tools for Discovery

Tools for Discovery: Jordan Ellenberg

May 20, 2013 October 3, 2017  big data, machine learning, optimization

UW–Madison Mathematics Professor and Discovery Fellow Jordan Ellenberg provides perspective on programming in math, Google Hangout and why our brains are the ultimate tool for discovery.

More"Tools for Discovery: Jordan Ellenberg"

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