Connectionists: AIDA free semester course by Prof. Nicolo Cesa-Bianchi "Statistical Methods for Machine Learning", 4th March - 4th June 2024

[Efi]

Dear AI scientist/engineer/student/enthusiast,

the International AI Doctoral Academy (*AIDA <https://www.i-aida.org/>*) 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

*4th March 2024 –  4th 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 at 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
<https://www.i-aida.org/about/members/>.



The International AI Doctoral Academy (AIDA) <http://www.i-aida.org/>, a
joint initiative of the European R&D projects AI4Media
<https://ai4media.eu/>, ELISE <https://www.elise-ai.eu/>, Humane AI Net
<https://www.humane-ai.eu/>, TAILOR <https://tailor-network.eu/>, VISION
<https://www.vision4ai.eu/>, 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
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