Foundations of Machine Learning
Foundations of Machine Learning
Formerly titled CS 555 Data Analysis and Visualization with R.
This course provides an overview of the statistical tools most commonly used to process, analyze, and visualize data. Topics include simple linear regression, multiple regression, logistic regression, analysis of variance, and survival analysis. These topics are explored using the statistical package R, with a focus on understanding how to use and interpret output from this software as well as how to visualize results. In each topic area, the methodology, including underlying assumptions and the mechanics of how it all works along with appropriate interpretation of the results, are discussed. Concepts are presented in context of real world examples. Recommended Prerequisite: MET CS 544 or equivalent knowledge, or instructor's consent.
2022FALLMETCS555 A1, Sep 12th to Dec 12th 2022
Days | Start | End | Type | Bldg | Room |
---|---|---|---|---|---|
M | 06:00 PM | 08:45 PM | EPC | 208 |
2022FALLMETCS555 A2, Sep 8th to Dec 8th 2022
Days | Start | End | Type | Bldg | Room |
---|---|---|---|---|---|
R | 06:00 PM | 08:45 PM | MET | 122 |
2022FALLMETCS555 A3, Sep 8th to Dec 8th 2022
Days | Start | End | Type | Bldg | Room |
---|---|---|---|---|---|
R | 09:00 AM | 11:45 AM | MET | 122 |
2022FALLMETCS555 O2, Nov 1st to Dec 19th 2022
Days | Start | End | Type | Bldg | Room |
---|---|---|---|---|---|
ARR | TBD | TBD | ROOM |
2023SPRGMETCS555 A1, Jan 24th to May 2nd 2023
Days | Start | End | Type | Bldg | Room |
---|---|---|---|---|---|
T | 12:30 PM | 03:15 PM | CAS | B36 |
2023SPRGMETCS555 A2, Jan 19th to Apr 27th 2023
Days | Start | End | Type | Bldg | Room |
---|---|---|---|---|---|
R | 12:30 PM | 03:15 PM | MET | 122 |
2023SPRGMETCS555 A3, Jan 19th to Apr 27th 2023
Days | Start | End | Type | Bldg | Room |
---|---|---|---|---|---|
R | 06:00 PM | 08:45 PM | CAS | 216 |
2023SPRGMETCS555 O1, Jan 17th to Mar 6th 2023
Days | Start | End | Type | Bldg | Room |
---|---|---|---|---|---|
ARR | TBD | TBD | ROOM |
Format & Syllabus: