Analysis of Big Data
ORF 350
1244
1244
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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.
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Section L01
- Type: Lecture
- Section: L01
- Status: O
- Enrollment: 56
- Capacity: 80
- Class Number: 40114
- Schedule: MW 03:00 PM-04:20 PM - Friend Center 006
Section P01
- Type: Precept
- Section: P01
- Status: O
- Enrollment: 29
- Capacity: 30
- Class Number: 40115
- Schedule: T 03:30 PM-04:20 PM - Sherrerd Hall 101
Section P02
- Type: Precept
- Section: P02
- Status: O
- Enrollment: 9
- Capacity: 30
- Class Number: 40116
- Schedule: T 07:30 PM-08:20 PM - Engineering Quad E-Wing E225
Section P03
- Type: Precept
- Section: P03
- Status: O
- Enrollment: 18
- Capacity: 30
- Class Number: 40117
- Schedule: Th 07:30 PM-08:20 PM - Sherrerd Hall 101