Introduction to Machine Learning
This course builds an essential toolkit for anyone starting out in ML or data science. Foundational issues in this area, such as cross-validation and the bias-variance trade-off, are covered with a focus on the intuition behind their use. This course also explores the principal techniques that any machine learner or data scientist should know including logistic regression, decision trees, classification, and clustering.
Participants are expected to be familiar with Python fundamentals, with basic statistics knowledge being helpful but not required.
Dates: March 30- May 11
Schedule: Wednesdays 6-9pm
Instructor: Sridevi Pudipeddi
Continuing Education Units: 2
Cost: $995 or $746.25 for USF students and alumni