Course

Introduction to Machine Learning

Jan 16, 2025 - Jan 17, 2025
12 credits

Spots remaining: 16

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Full course description

Term: Spring 2025

Date: January 16th & 17th, 2024

Time: 16th: 9:00am - 4:00pm 17th: 9:00am - 2:00pm

Location: University Mall 2104 (directions)

Instructors: Jennifer Van Mullekom, Stephanie DeHart, & Kate Miller

Presented By: Statistical Applications and Innovations Group (SAIG)

 

Description:

Machine learning and data science methods have recently been co-opted into virtually all fields of study. These methods have become an integral part of the toolkit of tomorrow’s worker. Even if you’re not studying statistics, computer science or math, we can guarantee that these tools will be useful for whatever endeavor you plan to undertake in today’s modern economy. In this short course, we will go through an introduction of machine learning methods, both introducing the fundamental concepts underlying the most popular algorithms and showing how to employ these methods to derive meaningful conclusions from data. This course includes both hands-on, in-class exercises and take-home practice exercises for students to sharpen their understanding of the course material. in both R and Python will be provided, but the course instruction with focus on Python.

ML Learning Objectives:
Students will learn the concepts behind the prevailing machine learning algorithms
Students will learn how to code the algorithms in Python, as well as how to employ these algorithms in the process of data-based decision-making
Students will learn where to find more information about the latest developments in machine learning
Students will learn where to find assistance in writing code for machine learning algorithms
 
Familiarity with R/Python is required.

**Prerequisites: Simple Linear Regression and Model Selection in R (SAIG offers a self-paced SLR course: https://profdev.tlos.vt.edu/browse/researchdiscovery/courses/saig14-010121)

Bring your laptop and please install the latest version of Python and your favorite IDE on your machine by downloading from the following links:

https://www.python.org/downloads/
https://www.anaconda.com/products/individual (Package manager including both Python and a number of popular IDE’s)

Please make sure your versions are the most up-to-date.

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