INFO-I 415 INTRODUCTION TO STATISTICAL LEARNING (3 CR.)
This course applies statistical learning methods for data mining and inferential and predictive analytics to informatics-related fields. The course also covers techniques for exploring and visualizing data, assessing model accuracy, and weighing the merits of different methods for a given real-world application. This course is an essential toolset for transforming large, complex informatics datasets into actionable knowledge.
1 classes found
|LEC||3||39728||Open||ARR||ARR||WB WEB||Nowak II H
Regular Academic Session / 100% Online All
LEC 39728: Total Seats: 35 / Available: 33 / Waitlisted: 0Show Details for section 39728
- Prerequisite: ECON E270 or PBHL B300 or PBHL-B302 or PSY B305 or SPEA K300 or STAT 30100 or STAT 35000
- This is a 100% online delivered class. No on-campus or synchronous class meetings are required.