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Machine Learning (JMP) is a Course

Machine Learning (JMP)

Ended Apr 12, 2024
1 credit

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Full course description

Term: Spring 2024

Date: April 12th, 2024

Time: 1:00pm - 2:00pm

Location: Room 2420 North End Center 300 Turner St. NW

Instructor: Ross Metusalem from JMP

Presented By: Statistical Applications & Innovations Group (SAIG) & Statistics

 

Description:

JMP Pro is no-code data analysis software designed for researchers and scientists. Its comprehensive statistical capabilities support many uses, and its interactive, graph-first interface makes it a strong teaching tool, too. It’s used widely in both academia and industry and is available to all Virginia Tech faculty and students (get access here). On Apr. 12, the JMP Academic team is holding three sessions for faculty and students to introduce JMP Pro and to demonstrate several graphing and analysis techniques in detail.

Machine Learning

• Fitting decision trees, neural nets, and other machine learning models

• Performing model cross-validation and comparison

• Applying models in both data mining and prediction

 

Be sure to register for the other two courses happening April 12th to attend a full day of JMP Learning:

Introduction to JMP Pro https://profdev.tlos.vt.edu/browse/researchdiscovery/courses/saig41-041224

Data Visualization (JMP) https://profdev.tlos.vt.edu/browse/researchdiscovery/courses/saig42-041224