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Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
The Fourth Paradigm: Data-intensive Scientific Discovery is a 2009 anthology of essays on the topic of data science.Editors Tony Hey, Kristin Michele Tolle, and Stewart Tansley claim in the book's description that it presents the first broad look at the way that increasing use of data is bringing a paradigm shift to the nature of science.
William Swain Cleveland II (born 1943) is an American computer scientist and Professor of Statistics and Professor of Computer Science at Purdue University, known for his work on data visualization, particularly on nonparametric regression [1] and local regression. [2] He is remembered as one of the developers of the S programming language. [3]
In computer science, garbage in, garbage out (GIGO) is the concept that flawed, biased or poor quality ("garbage") information or input produces a result or output of similar ("garbage") quality. The adage points to the need to improve data quality in, for example, programming. Rubbish in, rubbish out (RIRO) is an alternate wording. [1] [2] [3]
William Chester Minor (also known as W. C. Minor; 22 June 1834 – 26 March 1920) was an American army surgeon, psychiatric hospital patient, and lexicographical researcher. After serving in the Union Army during the American Civil War , Minor moved to England.
The RapidMiner data science platform consists of the following main components: [12] RapidMiner Studio, RapidMiner AI Hub and RapidMiner Go which can be deployed as a part of the AI Hub. This video explains the links between the main elements and advises on the suitability of each component for different user groups and use cases.
Dhanurjay "DJ" Patil (born August 3, 1974) is an American mathematician and computer scientist who served as the Chief Data Scientist of the United States Office of Science and Technology Policy [1] [2] [3] from 2015 [4] to 2017. [5]
Social data scientists use both digitized data [22] (e.g. old books that have been digitized) and natively digital data (e.g. social media posts). [23] Since such data often take the form of found data that were originally produced for other purposes (commercial, governance, etc.) than research, data scraping, cleaning and other forms of preprocessing and data mining occupy a substantial part ...