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Simon Foo
Professor 9 Mo SAL

Florida State University

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What is Data Science?
Audience: Adults
Description: Explains the "nuts and bolts" of data analytics in terms of statistics, probability and linear algebra. Covering topics such as Gaussian processes, Gaussian mixture models, expectation maximization, k-means clustering, supervised and unsupervised learning, parametric and non-parameteric models, deep learning, etc. With real world examples and data sets.

Subject Areas: Computer Science
Engineering
Information Science
Mathematics
Science
Keywords: Data Analytics
Data Mining
Data Science
Statistical Analysis
Duration: 1 hour or less
Fee: No Cost

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