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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. It’s also necessary to understand data cleaning and processing techniques.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

Thus, they present interesting opportunities because information retrieval from a data lake is “fishing for information” that is relevant for the query, but not knowing where to look. So, extraction is critical to “mining out” very specific information from a particular data structure.