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Data science is "a concept to unify statistics, data analysis, informatics, and their related methods " to "understand and analyze actual phenomena " with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. [6]
Website. www.w3.org /Graphics /GIF /spec-gif89a.txt. The Graphics Interchange Format (GIF; / ɡɪf / GHIF or / dʒɪf / JIF, see § Pronunciation) is a bitmap image format that was developed by a team at the online services provider CompuServe led by American computer scientist Steve Wilhite and released on June 15, 1987.
Vector graphics are a form of computer graphics in which visual images are created directly from geometric shapes defined on a Cartesian plane, such as points, lines, curves and polygons. The associated mechanisms may include vector display and printing hardware, vector data models and file formats, as well as the software based on these data ...
Number of Creative Commons works. An analysis in November 2014 revealed that the amount of CC-licensed works in major databases and searchable via Google sums up to 882 million works. Nine million webpages linking to one of the CC licenses. [ 1 ] Platform name. Number of works (rounded down by millions, November 2014)
Openclipart, also called Open Clip Art Library, is an online media repository of free-content vector clip art. The project hosts over 160,000 free graphics and has billed itself as "the largest community of artists making the best free original clipart for you to use for absolutely any reason". The website was brought down for several months by ...
Social data science is an interdisciplinary field that addresses social science problems by applying or designing computational and digital methods. As the name implies, Social Data Science is located primarily within the social science, but it relies on technical advances in fields like data science, network science, and computer science.
Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [ 10 ] Data analysis is a process for obtaining raw data , and subsequently converting it into information useful for decision-making by users. [ 1 ]
Data-driven models encompass a wide range of techniques and methodologies that aim to intelligently process and analyse large datasets. Examples include fuzzy logic, fuzzy and rough sets for handling uncertainty, [3] neural networks for approximating functions, [4] global optimization and evolutionary computing, [5] statistical learning theory, [6] and Bayesian methods. [7]