Data science

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data,[1][2] and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data.Data science is a “concept to unify statistics, data analysis, informatics, and their related methods” in order to “understand and analyze actual phenomena” with data.[3] It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. Turing Award winner Jim Gray imagined data science as a “fourth paradigm” of science (empirical, theoretical, computational, and now data-driven) and asserted that “everything about science is changing because of the impact of information technology” and the data deluge.[4][5] Continue reading “Data science”

Scrip (Ofer Abarbanel online library)

scrip (or chit in India) is any substitute for legal tender. It is often a form of credit. Scrips have been created for payment of employees under truck systems, and for use in local commerce at times when regular currency was unavailable, for example in remote coal towns, military bases, ships on long voyages, or occupied countries in wartime. Besides company scrip, other forms of scrip include land scrip, vouchers, token coins such as subway tokens, IOUs, arcade tokens and tickets, and points on some credit cards. Continue reading “Scrip (Ofer Abarbanel online library)”