Analysis of Big Data
ORF 350
1214
1214
Info tab content
This course is a theoretically oriented introduction to the statistical tools that underpin modern machine learning, whose hallmarks are large datasets and/or complex models. Topics include a rigorous analysis of dimensionality reduction, a survey of models ranging from regression to neural networks, and an analysis of learning algorithms.
Instructors tab content
Sections tab content
Section L01
- Type: Lecture
- Section: L01
- Status: O
- Enrollment: 59
- Capacity: 80
- Class Number: 41521
- Schedule: MW 03:00 PM-04:20 PM
Section P01
- Type: Precept
- Section: P01
- Status: O
- Enrollment: 21
- Capacity: 40
- Class Number: 41522
- Schedule: T 03:30 PM-04:20 PM
Section P02
- Type: Precept
- Section: P02
- Status: O
- Enrollment: 12
- Capacity: 30
- Class Number: 41523
- Schedule: T 07:30 PM-08:20 PM
Section P03
- Type: Precept
- Section: P03
- Status: O
- Enrollment: 26
- Capacity: 30
- Class Number: 41524
- Schedule: Th 07:30 PM-08:20 PM