Introduction to Learning from Data
ENG EC 503
This is an introductory course in statistical learning covering the basic theory, algorithms, and applications. This course will focus on the following major classes of supervised and unsupervised learning problems: classification, regression, density estimation, clustering, and dimensionality reduction. Generative and discriminative data models and associated learning algorithms of parametric and non-parametric varieties will be studied within both frequentist and Bayesian settings in a unified way. A variety of contemporary applications will be explored through homework assignments and a project.
FALL 2023 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
A1 | Ishwar | CDS 263 | TR 1:30 pm-3:15 pm |
FALL 2023 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
B1 | Ishwar | CDS 263 | M 6:30 pm-8:15 pm |
SPRG 2024 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
A1 | Ishwar | EPC 208 | TR 1:30 pm-3:15 pm | Discussion sec B2 will be held on Wed., 6:30- 8:15 Pm |
SPRG 2024 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
B2 | Ishwar | PHO 205 | W 6:30 pm-8:15 pm |
Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.