University-Notes
University-Notes copied to clipboard
Notes from MSc Mathematical Engineering - Statistical Learning at Politecnico di Milano 📚
MSc Mathematical Engineer - Statistical Learning @ Politecnico di Milano
Notes from lectures and practical sessions of the courses I have attended during my MSc in Mathematical Engineering - Statistical Learning @ Politecnico di Milano.
📚 Content
| Course | Professor/s | Academic Year |
|---|---|---|
| Algorithms and Parallel Computing | Danilo Ardagna | 2020-2021 |
| Applied Statistics | Piercesare Secchi | 2019-2020 |
| Artificial Neural Networks and Deep Learning | Matteo Matteucci | 2020-2021 |
| Bayesian Statistics | Alessandra Guglielmi | 2020-2021 |
| Computational Statistics | Andrea Manzoni | 2021-2022 |
| Data Mining and Text Mining | Pierluca Lanzi | 2020-2021 |
| Machine Learning | Daniele Loiacono | 2020-2021 |
| Model Identification and Data Analysis | Sergio Bittanti, Sergio Savaresi | 2019-2020 |
| Nonparametric Statistics | Francesca Ieva, Simone Vantini | 2020-2021 |
| Optimization | Edoardo Amaldi | 2019-2020 |
| Real and Functional Analysis | Fabio Punzo | 2021-2022 |
| Reliability Engineering and Quantitative Risk Analysis | Enrico Zio | 2020-2021 |
| Stochastic Dynamical Models | Franco Fagnola | 2019-2020 |