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Dimensionality Reduction I (Intro Lecture)

Difficulty level

This lecture introduces the core concepts of dimensionality reduction.

Topics covered in this lesson
  • Introduction to core concepts of dimensionality reduction applied to multi-dimensional neural recordings
  • Geometric view of data
  • Principal component analysis
  • Dimensionality reduction and reconstruction
  • Nonlinear dimensionality reduction
  • Rationale for the  dimensionality reduction approach
  • Geometric perspective to dimensionality reduction

Experience with Python Programming Language

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