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Red Hat Communities of Practice This data is not pre-processed List of GitHub repositories of the project: Red Hat Partner Tech This data is not pre-processed List of GitHub repositories of the project: Red Hat Documentation This data is not pre-processed List of GitHub repositories of the project: IBM This data is not pre-processed List of ...
Geoscience interpretation and visualization dGB Earth Sciences GPL or custom Cross-platform: C++: Interfaces with GMT Modelgeo [21] General 3D mathematics with modelling and visualization of geoscience data ModelGeo AS Free for non-profit use Windows C++, TCL: Originally a petroleum geology program, reads all common geology and geophysics data ...
Empirical studies of data practices in research have "highlighted the need for organizations to offer more formal training and assistance in data management to scientists" [132] In a 2017-2018 international survey of 1372 scientist, most requests for help and formalization were associated with data management plan: "creating data management ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Google Dataset Search is a search engine from Google that helps researchers locate online data that is freely available for use. [1] The company launched the service on September 5, 2018, and stated that the product was targeted at scientists and data journalists. The service was out of beta as of January 23, 2020. [2]
Google Docs is an online word processor and part of the free, web-based Google Docs Editors suite offered by Google. Google Docs is accessible via a web browser as a web-based application and is also available as a mobile app on Android and iOS and as a desktop application on Google's ChromeOS .
In statistics, multiple correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low-dimensional Euclidean space. The procedure thus appears to be the counterpart of principal component analysis for ...
In order to make the corpora more useful for doing linguistic research, they are often subjected to a process known as annotation. An example of annotating a corpus is part-of-speech tagging , or POS-tagging , in which information about each word's part of speech (verb, noun, adjective, etc.) is added to the corpus in the form of tags .