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Data Mining: Learning from Massive Datasets

University of Pennsylvania ยท PA ยท ESE5450

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Data Mining: Learning from Massive Datasets is a subject at University of Pennsylvania, PA. It covers topics like data-mining, data-science, knowledge-discovery, machine-learning. It is part of 8 degrees. The information below is compiled from public course material โ€” approximate, not official.

University
University of Pennsylvania
Code
ESE5450
Credit points
3.00

Topics covered

data-miningdata-scienceknowledge-discoverymachine-learning

Degrees that include Data Mining: Learning from Massive Datasets

Frequently asked questions

What is Data Mining: Learning from Massive Datasets about?

Data Mining: Learning from Massive Datasets covers topics like data-mining, data-science, knowledge-discovery, machine-learning.

Which degrees include Data Mining: Learning from Massive Datasets?

Data Mining: Learning from Massive Datasets is part of 8 degrees, including Computer Science, BSE, Data Science and Artificial Intelligence, MSE, Data Science, MSE, Integrated Product Design, Certificate, Integrated Product Design, MIPD.

How many credit points is Data Mining: Learning from Massive Datasets?

Data Mining: Learning from Massive Datasets at University of Pennsylvania is typically around 3.00 credit points. Approximate โ€” confirm with the university.

Where is Data Mining: Learning from Massive Datasets taught?

Data Mining: Learning from Massive Datasets is taught at University of Pennsylvania, PA.

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Sources: University of Pennsylvania public course catalogue. Information is compiled and summarised โ€” not copied verbatim โ€” and is approximate; always confirm with the original source.

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