Sumários

Regression - I

21 Outubro 2025, 14:00 • 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
  • Regression as a special case of general model fitting and selection
  • Linear Regression: Linear models and norms (L2 and L1)
  • Ordinary least squares (OLS)

Dimensionality Reduction

15 Outubro 2025, 09:30 • André Maria da Silva Dias Moitinho de Almeida

  • Computational exercises on dimensionality reduction. 
  • Application to input for clustering

Dimensionality Reduction - II

15 Outubro 2025, 08:30 • André Maria da Silva Dias Moitinho de Almeida

  • Methods for dimensionality reduction:  non-linear methods: 
    • Kernel PCA
    • Manifold learning: 
      • isomap embedding
      • multidimensional scaling
      • t-distributed Stochastic Neighbor Embedding (t-SNE)

Individual study

14 Outubro 2025, 14:00 • André Maria da Silva Dias Moitinho de Almeida

Individual study of clustering and dimensionality reduction for TP problems.

Structure in data

8 Outubro 2025, 09:30 • André Maria da Silva Dias Moitinho de Almeida

  • Computational exercises on clustering.