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Analysis of Big Data

ORF 350

1254
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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: 53
  • Capacity: 80
  • Class Number: 40326
  • Schedule: TTh 03:00 PM-04:20 PM

Section P01

  • Type: Precept
  • Section: P01
  • Status: O
  • Enrollment: 18
  • Capacity: 29
  • Class Number: 40327
  • Schedule: T 01:30 PM-02:20 PM

Section P02

  • Type: Precept
  • Section: P02
  • Status: O
  • Enrollment: 17
  • Capacity: 29
  • Class Number: 40328
  • Schedule: T 07:30 PM-08:20 PM

Section P03

  • Type: Precept
  • Section: P03
  • Status: O
  • Enrollment: 18
  • Capacity: 29
  • Class Number: 40329
  • Schedule: Th 07:30 PM-08:20 PM