Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...
Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...
By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...
This diagram outlines the process used to identify the top 20 metabolites associated with oxidative potential (OP) in heavy metal-contaminated soils. The analysis involves data collection from ...
“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Jasmine Jia, associate director of data ...
For the first time in a couple of years, we'll be hopping a plane to hit AWS re:Invent right after we've digested our Thanksgiving turkey. There are plenty of third-party services that promise to ...
News-Medical.Net on MSN
Machine learning model boosts success of liver transplants from circulatory death donors
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
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