R for Machine Learning Part 1 Online
This is a part of the SummeR of LeaRning Series.
We'll cover the basics of machine learning in R. Below are the concepts we'll teach:
- Machine Learning Basics
- Train, Validation, and Test Data
- Features vs Labels
- Unsupervised Learning
- Supervised Learning
- Model Interpretation
- AI Bias
You should be familiar with the materials from:
- R for Everyone
- R for Data Manipulation
Albert Lee is an Instructional Designer and Analyst for the Data Science Initiative at the UCSF Library.
- Friday, Jul 1 2022
- 11:05am - 12:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- This is an online event. Event URL will be sent via registration email.