TIMETABLE
DateDayHoursInstructorTA
Feb-23Monday1.5Intro+Class Project
Feb-26 Deadline: Team Formation
Feb-27Friday3Python Basics
Mar-02Monday1.5Numpy (lez.) + Inizio Esercizi
Mar-06Friday3Conclusione Esercizi + Matplotlib (lez + es.)
Mar-09Monday1.5Pandas pt. 1
Mar-13Friday3Intro to AI Risks
Mar-16Monday1.5Pandas pt. 2
Mar-20Friday3 8:30-9:45 Intro to Data Centers: part 1 lecture+form for activity+video

10-11:30 Matilde Bagnasco's Lecture + Matilde's thesis
Mar-23Monday1.5 Intro to Data Centers: part 2 lecture+form for activity+video
Mar-27Friday - no lecture because of "salone dell'orientamento"
Mar-30Monday1.5Geopandas
Apr-03Friday- vacation -
Apr-6Monday- vacation -
Apr-10Friday3// Paper 2 (MIT)
// Data Processing
Apr-13Monday1.5Pre-Processing (lez.)
Apr-17Friday3Pre-Processing (es) + How to manage text
Apr-20Monday1.5 Data Pre-Processing
Apr-24Friday3Scikit-Learn Classification (lez.) + Scikit-Learn Classification (es.)
Apr-27Monday1.5Tutorial: Hands-on Pytorch
May-01Friday- vacation -
May-4Monday1.5Parameter Tuninig and Cross Validation
May-08Friday3 //Data Pre-processing (part 2)
//Classification & Regression

Homework1| Read Chapters 3,4,5 of Data Analysis Using Regression and Multilevel/Hierarchical Models

Homework2| From Ian H. Witten & Eibe Frank. Data Mining, read Chapters: 4.3 "Divide-and-conquer: Constructing decision trees", 6.1 "Decision trees", 6.7 "Bayesian networks"
May-11Monday1.5Scikit-Learn Regression (lez.)
May-15Friday3// Clustering

Homework1| From Ian H. Witten & Eibe Frank. Data Mining, read Chapters 4.8 and 6.6 titled "Clustering"
May-18Monday1.5Scikit-Learn Regression(es.)
May-22Friday3Scikit-Learn Clustering (lez.)+Scikit-Learn Clustering (es.)
May-25Monday1.5RAG
May-29Friday3 //How to Write: The Pyramid Principle
//Handout
Jun-01Monday1.5Future Wheel on Data Centers + Examples of exam questions
Jun-05Friday3Report Clinic