machine learning

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  • The R/V Thomas G. Thompson, one of the research vessel by the School of Oceanography at the University of Washington.

Shifts in marine microbial populations detected using statistical machine learning

Oceanography is currently witnessing a data explosion, with new instruments being deployed that collect high frequency, multi-parameter datasets, both remotely, with satellites, and in situ, with new instruments such as the SeaFlow cytometer. As a result, oceanographers have begun to use large-scale statistical machine learning tools to analyze these substantial datasets, thereby accelerating scientific discovery […]

  • The logo for KenSci

Affiliate’s health startup receives $8.5 million in funding

By Robin Brooks

KenSci, a health data startup co-founded by Ankur Teredesai and Samir Manjure, has raised $8.5 million in a Series A investment round. The startup uses machine learning technology that “helps doctors predict who might get sick and how sick they might get, and take actions to help them before it happens.” (1)

Teredesai, eScience […]

January 27th, 2017|Categories: News|Tags: , , , |
  • A screenshot of the MusicNet tool in action via YouTube

eScience fellows release new music dataset

By Robin Brooks

Sham Kakade, senior data science fellow, and Zaid Harchaoui, data science fellow, are part of a UW team that has developed MusicNet, a “classical music dataset … which enables machine learning algorithms to learn the features of classical music from scratch.”

According to a UW press release, “MusicNet is the first publicly available large-scale classical music […]

December 2nd, 2016|Categories: News|Tags: , , , , |