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Tutorial 4: Nonlinear dimensionality reduction

Difficulty level
Beginner
Duration
4:17

This tutorial covers how dimensionality reduction can be useful for visualizing and inferring structure in your data. To do this, we will compare principal component analysis (PCA) with t-SNE, a nonlinear dimensionality reduction method.

Overview of the tutorial:

  • Visualize MNIST in 2D using PCA
  • Visualize MNIST in 2D using t-SNE