Sentence examples for working with data that from inspiring English sources

Exact(6)

Machine learning experts are used to working with data that's already been aggregated into useful variables, such as the number of website visits by a user, rather than a table of every action the user has ever taken on the site.

With Azure Government Secret, Microsoft's Government Cloud will also soon support workloads for agencies and their partners who are working with data that is classified as "secret".

Though this algorithm's (often inaccurate) assumptions of independence may seem counterintuitive, it generally performs quite well in real-world situations, but the performance begins to decline when working with data that is highly imbalanced or dependent [110].

However the methods proposed here avoid integrating out unusual random effects and MCMC methods [ 24] and retain all the advantages of working with data that are assumed to be normally distributed.

The control limits on an XmR chart are dependent on the ordering of the data, and this dependency is such that the ambiguity in "expected variation" (as quantified by the range of possible widths of the control limits) is large when working with data that have no inherent natural order.

There are many unknowns when working with data that your organization has never used before — the streams of unstructured information from the web, for example.

Similar(54)

Estimations of subjective or imprecise future beta for every asset can be represented through fuzzy numbers constructed on the basis of statistical data and the relevant knowledge of the financial analyst; the model, therefore, works with data that contain more information than any classical model and dealing with it does not involve a great extra computational effort.

This allows the user to work with data that cannot be simply precomputed and thus cannot be directly stored in the database.

While Code for Hampton Roads works with data that is already available online, sometimes members or affiliates have to ask for bulk data, group co-captain Kevin Curry said.

We stress that we do not intend here to disadvantage or criticize researchers who use proprietary tools, or who work with data that are not freely distributable; both of these are unavoidable, and in fact we do both in our own work.

To map this, the authors work with data that span six decades, from the years 1951 to 2008.

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