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Introduction to Machine Learning

Periodo di svolgimento

da Mercoledì, 7 Aprile 2021 a Venerdì, 4 Giugno 2021
Ore del corso: 40
Ore dei docenti responsabili: 40

Modalità d'esame

  • Prova orale


  •        Unsupervised learning

         o   Clustering (k-means, hierarchical, Gaussian mixture models, DBSCAN)

         o   Principal Component Analysis (PCA)

  •        Supervised learning

         o   Binary classification (logistic regression, support vector machines, decision trees, random forest)

         o   Regression: multivariate linear regression, PCA and Partial least square (PLS) regression, Multi-omic factor analysis (MOFA)

  •        The leading edge: application of ML approaches to solve grand challenges in biology:

         o   Ab-initio protein structure prediction

         o   Mutation prediction from genome sequencing data

         o   Single Cell RNAseq expression analysis

Obiettivi formativi

Aim of the course is to provide students with basic knowledge of both theoretical and practical aspect of machine learning approaches applied to bioinformatics and biology.

Riferimenti bibliografici

Ad hoc selected scientific papers