Efficacy and Efficiency Evaluation of Machine Learning Models
A.Y. 2023/2024
Course offered to students on the PhD programme in
Visit the PhD website for the course schedule and other information
Lead instructor: Dario Malchiodi
The course will describe and analyze methods for the evaluation of the performance of machine learning models, with reference to their efficacy (exploiting statistical methods) and efficiency (in terms of time, space, and energy consumption).
Undefined
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol
Deadlines
The course enrolment deadline is usually the 27th day of the month prior to the start date.
How to enrol
- Access enrolment on PhD courses online service using your University login details
- Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)
Ignore the option "Exam session date” that appears during the enrolment procedure.
Contacts
For help please contact [email protected]
Professor(s)
Reception:
Thursday 11-13
Room 3007 - Via Celoria 18, Milan.
Reception:
By appointment
Room 5015 of the Computer Science Department