📕 subnode [[@KGBicheno/data science]]
in 📚 node [[data-science]]
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garden/KGBicheno/Artificial Intelligence/Watson AI Overview/Module 2 - Available Watson AI Services/Data Science.md by @KGBicheno
Data Science
Go to [[The Golem Project Overview]], [[Main AI Page]], [[Econometrics Main Page]], or the [[Master Contents Page]].
This definition comes from Wikipedia.
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data.[1][2] Data science is related to data mining, machine learning and big data.
Data science is a "concept to unify statistics, data analysis 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, domain knowledge and information science. 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]
The Data Science Venn Diagram
📖 stoas
- public document at doc.anagora.org/data-science
- video call at meet.jit.si/data-science