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

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

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IT leaders turn to HBCUs for future IT talent

CIO Business Intelligence

They point to statistics that highlight challenges in IT workforce recruitment and diversity. White, a 2001 Morgan State University graduate with a bachelor’s in computer science, speaks from experience: He had two pivotal internships that propelled his professional career. There’s nothing like gametime experience,” he adds.

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Data Science at The New York Times

Domino Data Lab

He advocated that an impactful ML solution does not end with Google Slides but becomes “a working API that is hosted or a GUI or some piece of working code that people can put to work” Wiggins also dove into examples of applying unsupervised, supervised, and reinforcement learning to address business problems.