Didattica 2022/2023

Schedule:

Monday – 16^th  January – from 4 p.m. to 6 p.m.

Wednesday – 18^th  January – from 4 p.m. to 6 p.m.

Thursday – 19^th  January – from 4 p.m. to 6 p.m.

Friday – 27^th  January – from 4 p.m. to 6 p.m.

Monday – 30^th January – from 4 p.m. to 6 p.m.
 

Modality

Dual (streaming online https://meet.google.com/gjw-sdbs-rei – Aula 24 del Polo Scientifico Universitario di San Miniato – Siena)

Dott. Dimitri recommend to have your own pc in case you will attend the course in classroom

Course Modules and Content
1) Introduction to Machine Learning and Data Mining course (1 hour)
2) Introduction to R and preliminary statistical analysis (2 hours)
3) Data pre-processing and wrangling and R (2 hours)
4) Supervised machine learning methods (3 hours)
5) Clustering and unsupervised machine learning methods (2 hours)