Sumários

Dimensionality Reduction

14 Outubro 2026, 09:30 • André Maria da Silva Dias Moitinho de Almeida

  • Computational exercises on dimensionality reduction. 
  • Use in classification example: clustering of t-SNE ouput.

Regression - I

14 Outubro 2026, 08:30 • André Maria da Silva Dias Moitinho de Almeida

  • Typical problem in data science: dataset + model + cost function
  • Model determination: Training and testing samples
  • Bias/Variance trade-off
  • Overfitting

Dimensionality Reduction - II

13 Outubro 2026, 14:00 • André Maria da Silva Dias Moitinho de Almeida

  • Methods for dimensionality reduction (feature extraction)
    • Principal component analysis (PCA) - cont.
    • Kernel PCA
    • Manifold learning: 
      • isomap embedding
      • multidimensional scaling
      • t-distributed Stochastic Neighbor Embedding (t-SNE)

Structure in data

7 Outubro 2026, 09:30 • André Maria da Silva Dias Moitinho de Almeida

  • Computational exercises on clustering.

Dimensionality Reduction - I

7 Outubro 2026, 08:30 • André Maria da Silva Dias Moitinho de Almeida

  • High dimensional data in physics
  • The curse (and blessing) of dimensionality
  • Approaches and methods for dimensionality reduction
    • Feature selection 
    • Feature extraction
  • Methods for dimensionality reduction (feature extraction)
    • Principal component analysis (PCA)