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Derived from
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119237 ANALISI STATISTICA MULTIVARIATA E DATA MINING in Administration, finance and control LM-77 crescenzi federico
(syllabus)
1. Computational statistics
- Introduction/recall to R
- Basic statistics with R
-.Data visualization
2. Introduction to linear algebra
- Vectors
- Matrices
- Vector spaces
3. Regression
- Parametric methods (linear regression, lasso, ridge)
- Non-parametric methods (Regression trees, Bagging, Random Forest, Principal component regression)
4. Classification
- Parametric methods (Logit model (logit ridge/lasso), Linear discriminant analysis, Non-parametric methods, Classification trees)
5. Unsupervised learning
- Cluster analysis
- Principal components
(reference books)
Bertaccini, B. (2018). Introduzione alla
statistica computazionale con R (p. 182).
Firenze University Press. (Disponibile
gratuitamente in pdf)
Barabesi, L., & Fattorini, L.
(2010). Introduzione all'algebra delle matrici.
Giuffrè Editore. (Disponibile gratuitamente in
pdf)
James, G., Witten, D., Hastie, T., & Tibshirani,
R. (2013). An introduction to statistical
learning (Vol. 112, p. 18). New York: springer.
(Disponibile gratuitamente in pdf in versione
inglese)
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