Search results
Results from the WOW.Com Content Network
PDF is a standard for encoding documents in an "as printed" form that is portable between systems. However, the suitability of a PDF file for archival preservation depends on options chosen when the PDF is created: most notably, whether to embed the necessary fonts for rendering the document; whether to use encryption; and whether to preserve additional information from the original document ...
Prior uses of machine-readable media had been for lists of instructions (not data) to drive programmed machines such as Jacquard looms. "After some initial trials with paper tape, he settled on punched cards..." [3] Hollerith used punched cards with round holes, 12 rows, and 24 columns. The cards measured 3 + 1 ⁄ 4 by 6 + 5 ⁄ 8 inches (83 ...
Formally, a "database" refers to a set of related data accessed through the use of a "database management system" (DBMS), which is an integrated set of computer software that allows users to interact with one or more databases and provides access to all of the data contained in the database (although restrictions may exist that limit access to particular data).
Data (/ ˈ d eɪ t ə / DAY-tə, US also / ˈ d æ t ə / DAT-ə) are a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally.
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
From January 2008 to December 2012, if you bought shares in companies when Robert W. Lane joined the board, and sold them when he left, you would have a -14.1 percent return on your investment, compared to a -2.8 percent return from the S&P 500.
In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a data set. [1] Choosing informative, discriminating, and independent features is crucial to produce effective algorithms for pattern recognition, classification, and regression tasks.
From January 2012 to December 2012, if you bought shares in companies when James J. Heppner joined the board, and sold them when he left, you would have a 23.7 percent return on your investment, compared to a 11.7 percent return from the S&P 500.