Sentence examples for data-driven means from inspiring English sources

Mehlman, according to Bush campaign officials, persuaded Rove to invest heavily in microtargeting (a data-driven means of identifying and reaching select groups of voters), which helped deliver Ohio and thus the election.

In comparison with conventional descriptive approaches, peak event analysis provided a more analytical and data-driven means to identify suspended particulate events with meaningful and perceptible effects on local residents.

Being a data-driven company means taking actions based on what the analysis shows.

In addition, Fantoo's data-driven approach means it can provide email "analytics", enabling users to see how productive they are compared to others in a company or more broadly across the startup's customer-base as a whole, based on demographic (anonymously, of course).

At RJMetrics, we believe in data-driven decisions, which means we do a lot of testing.

The usual scenario in speaker adaptation for speech recognition is to use a global transform followed by a second transform with more classes constructed in a data-driven manner, by means of a regression tree [24].

When considering group data using SDT, individual subject variability can be modelled using hierarchical Bayesian techniques [ 15], allowing estimation of data-driven posteriors of mean bias and discriminability as well as their variance or precision (the inverse of variance) [ 11, 12].

That doesn't mean data-driven decision making is wrong, but if the name of the game is winning, perhaps Beane isn't doing something right, which brings us to this year's Boston Red Sox, one of the biggest group of underachievers you're ever likely to see grace a baseball diamond.

Although ENIGMA is data-driven, that does not mean that we cannot use patterns in the findings to design more targeted approaches that prioritize phenotypes and genetic loci for follow-up analyses.

The performance of the various data-driven models was evaluated by means of errors statistics criteria such as root mean squared error (RMSE) and coefficient of determination (R 2).

But Google says it has a weapon to guide it in picking investments — a Google-y secret sauce, which means using data-driven algorithms to analyze the would-be next big thing.