Sentence examples for algorithmic data from inspiring English sources

They, like others, have initially considered social to be a relatively trivial thing and dismissed it and they're now coming to the realization that it is as complicated and tricky and delicate in a different way than figuring out the algorithmic data approaches to doing search.

Think of algorithmic data mining and statistical computation, robotics, and the automation to be found in any modern biological laboratory.

It promises to step beyond algorithmic data by using custom social groups and human health coaches who communicate directly with users through the app or over the phone.

Researchers with different backgrounds tend to have different perspectives on data analysis, using either statistical (model-based focus on variability) or algorithmic (data mining for patterns and rules) (NRC 2013; Mahoney et al. 2008) techniques.

I've spoken a lot about the dangers associated with government use of face recognition in law enforcement, yet, this article opened my eyes to the unfair and potentially life threatening practice of refusing or reducing support services to citizens who may really need them — through determinations based on algorithmic data.

Or, if you're James Murphy, you can partner up with IBM and transform algorithmic data generated by professional tennis matches into an ethereal soundscape punctuated by funky-ass dance tunes. .

They show incidents of crime in real time; multiple newscasts; the seismic effects of earthquakes; and sections of the city as small as 500 square feet where algorithmic data-crunching indicates that crimes are most likely to take place.

Also, C++ classes to emulate the fixed-point mechanisms have been developed as in SystemC [4] or Algorithmic C data types [6].

While the accuracy using CUSHAW appeared somewhat lower than BWA possibly due to algorithmic differences (data not reported), time improvement using CUSHAW was substantial with a 2.0 to 2.6-fold speed-up, depending on the number of threads (one to eight) BWA was allowed to use.

The committee also says it wants to see much greater accountability and transparency on "algorithmic-processed data by any actor, be it private or public" — signalling a belief that GDPR does not go far enough on that front.

Algorithmic trading, data-driven analysis, and electronic discovery will lead to insights that cannot be derived by human analysts and lawyers.