10 June - 16 June
Section outline
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- Dimensionality reduction: PCA, random projections, compressed sensing.
Προτεινόμενη μελέτη: διαφάνειες Shalev-Shwartz και κεφάλαιο 23 από Understanding Machine Learning. - Generative models: maximum likelihood, naive Bayes, LDA, latent variables and EM, Bayesian reasoning.
Προτεινόμενη μελέτη: διαφάνειες Shalev-Shwartz και κεφάλαιο 24 από Understanding Machine Learning.
- Dimensionality reduction: PCA, random projections, compressed sensing.