Analysis of Big Data
ORF 350
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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: 40
- Capacity: 80
- Class Number: 40326
- Schedule: TTh 03:00 PM-04:20 PM - Computer Science Building 104
Section P01
- Type: Precept
- Section: P01
- Status: O
- Enrollment: 15
- Capacity: 29
- Class Number: 40327
- Schedule: T 01:30 PM-02:20 PM - Friend Center 109
Section P02
- Type: Precept
- Section: P02
- Status: O
- Enrollment: 13
- Capacity: 29
- Class Number: 40328
- Schedule: T 07:30 PM-08:20 PM - Andlinger Center 017
Section P03
- Type: Precept
- Section: P03
- Status: O
- Enrollment: 12
- Capacity: 29
- Class Number: 40329
- Schedule: Th 07:30 PM-08:20 PM - Sherrerd Hall 001