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Analysis of Big Data

ORF 350

1214
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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: 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