the International AI Doctoral Academy (AIDA) is excited to invite you to attend the upcoming semester course by Prof. Nicolo Cesa-Bianchi:

Statistical Methods for Machine Learning

This is a course about the theoretical foundations of machine learning and the analysis of machine learning algorithms. The focus is on understanding the mathematical principles at the basis of machine learning.

Host Institution: Università degli Studi di Milano

Level: Graduate

4^th March 2024 –  4^th June 2024  

Course attendance will be asynchronous in English: https://cesa-bianchi.di.unimi.it/MSA/index_23-24.html

Join us and explore further: https://www.i-aida.org/course/statistical-methods-for-machine-learning/

Both AIDA and non-AIDA students are encouraged to participate in this course for free (Maximal registrant number: 10 students)  

If you are an AIDA Student* already, please:

 Step (a): Register in the course by sending an email to the Course Lecturer (nicolo.cesa-bianchi@unimi.it) for your registration. AND

 Step (b): Enroll in the same course in the AIDA course link using the ‘Enroll on this course’ button therein, so that this course enters your AIDA Certificate of Course Attendance. If you are not an AIDA Student do only step (a). 

*AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members.

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, supports a world-level AI education and research program. AIDA has regular lecture series, short courses, semester courses, and summer schools with the participation of hundreds of academics and serving a growing community of AI PhD students and researchers.

Best regards

AIDA Secretariat