Name: Numerical Analysis in R
Start: 2015-12-08T18:30:00-05:00
End: 2015-12-08T20:30:00-05:00
Location: George Washington University Elliot School of International Affairs Building

Abstract:
R has become the go-to environment to support data science and statistical applications across many fields. Researchers write papers in R, engineers develop runtime applications in R, and new statistical methods are first developed in R. Supporting this powerful environment is a complete programming language and a wealth of numerical analysis tools. R has a built-in matrix language that can solve mathematical problems above and beyond statistical regression. This talk will walk through R's tools for matrix manipulation, interpolation, integration, and root finding.

Speaker:
James P. Howard, II

Abhijit

Data Community DC (DC2)

Marck Vaisman

James Howard

Statistical Programming DC

Data Community DC

Technology

Data Science

Applied Statistics

Data Mining

Machine Learning

R Project for Statistical Computing

Python

Computer Programming

Data Visualization

Data Analytics

Data Management

Big Data

Business Intelligence

Predictive Analytics

Open Source

Numerical Analysis in R

George Washington University Elliot School of International Affairs Building

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Statistical Programming DC

Numerical Analysis in R

Statistical Programming DC

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