Dimensionality Reduction I (Intro Lecture)
Dimensionality Reduction I (Intro Lecture)
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
Prerequisites
Experience with Python Programming Language
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