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Numbers is a spreadsheet application developed by Apple Inc. as part of the iWork productivity suite alongside Keynote and Pages. [2] Numbers is available for iOS and macOS High Sierra or newer. [3] Numbers 1.0 on Mac OS X was announced on August 7, 2007, making it the newest application in the iWork suite.
Data type validation is customarily carried out on one or more simple data fields. The simplest kind of data type validation verifies that the individual characters provided through user input are consistent with the expected characters of one or more known primitive data types as defined in a programming language or data storage and retrieval ...
Apple GS/OS – an operating system for Apple IIGS, [132] it was a core component of System Software (now Classic MacOS) from System 4.0 through System 6.0.1 [133] [134] [135] Apple Pascal – An operating system based on UCSD Pascal created for Apple's implementation of the Pascal programming language. [ 136 ]
iWork is an office suite of applications created by Apple for its macOS, iPadOS, and iOS operating systems, and also available cross-platform through the iCloud website.. iWork includes the presentation application Keynote, the word-processing and desktop-publishing application Pages, [1] [5] and the spreadsheet application Numbers. [6]
Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.
The final digit of a Universal Product Code, International Article Number, Global Location Number or Global Trade Item Number is a check digit computed as follows: [3] [4]. Add the digits in the odd-numbered positions from the left (first, third, fifth, etc.—not including the check digit) together and multiply by three.
Black Duck Software uses AI to speed up sending security advisories to customers. It says that with AI it can send out about five times its usual number of notifications a month.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
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