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Big data analytics has been used in healthcare in providing personalized medicine and prescriptive analytics, clinical risk intervention and predictive analytics, waste and care variability reduction, automated external and internal reporting of patient data, standardized medical terms and patient registries.
Ron Larson, Text and Academic Authors Association Most Promising New Textbook Award, 2013, Big Ideas Math: A Common Core Curriculum Algebra 1, 1st Edition (Big Ideas Learning) Ron Larson, Text and Academic Authors Association Textbook Excellence Award, 2014, Big Ideas Math: A Common Core Curriculum , 7 Book Series, 2nd Edition, (Big Ideas ...
Revolution Analytics – production-grade software for the enterprise big data analytics; RStudio – GUI interface and development environment for R; ROOT – an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson; Salstat – menu-driven statistics software
Based in South Africa, Siyavula [115] was founded in 2007 [116] and offers high school maths and science open textbooks. Initially funded through a Shuttleworth Foundation fellowship, the South African government provided 2.5 million print copies of Siyavula textbooks to South African high school students during 2012.
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data." [3]
In second and third grade students are assessed on subjects including Latvian language, minority language, math, and foreign languages and are graded using the 10 point scale. In fourth grade through ninth grade students begin being assessed in all subject areas and are graded using the 10 point scale.
A cloud-based architecture for enabling big data analytics. Data flows from various sources, such as personal computers, laptops, and smart phones, through cloud services for processing and analysis, finally leading to various big data applications. Cloud computing can offer access to large amounts of computational power and storage. [40]
The materials in the Data Science and Predictive Analytics (DSPA) textbook have been peer-reviewed in the Journal of the American Statistical Association, [5] International Statistical Institute’s ISI Review Journal, [3] and the Journal of the American Library Association. [4] Many scholarly publications reference the DSPA textbook. [6] [7]