Sumários

Regression - II

23 Outubro 2024, 08:30 • André Maria da Silva Dias Moitinho de Almeida

  • Ordinary least squares (OLS) - cont.
  • Limitations of OLS
  • Regularisation: Ridge regression

Regression - I

22 Outubro 2024, 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

16 Outubro 2024, 09:30 • André Maria da Silva Dias Moitinho de Almeida

Computational exercises on dimensionality reduction. Input to clustering

Dimensionality Reduction - II

16 Outubro 2024, 08:30 • André Maria da Silva Dias Moitinho de Almeida

  • Methods for dimensionality reduction (cont)
    • Principal component analysis (PCA)
    • Kernel PCA
    • Manifold learning: t-distributed Stochastic Neighbor Embedding (t-SNE)

Dimensionality Reduction - I

15 Outubro 2024, 14:00 • 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 and feature extraction