Mediterranean Machine Learning summer school will take place at ACT - Apply by Feb 28
We are excited to announce the third edition of the Mediterranean Machine Learning (M2L) summer school which will be held in Thessaloniki, Greece from 28 August to 2 September 2023 and will take place at the American College Thessaloniki (ACT).
Important Dates
- Application opening date: 1st February 2023
- Application closing date: 28th February 2023 23:59 (AoE), or after 600 applications
- Notification of acceptance: Early April 2023
- Registration opening date: 24th April 2023
- School dates: 28th August - 2nd September 2023
Applications
For details on information required and registration fees follow the link below:
Applications from Researchers, PhD and Master’s students, and professionals with existing experience will be prioritized.
Details
The school will be structured around 6 days of keynotes, lectures and intensive hands-on sessions on the most recent and fast developing core areas of Machine Learning with the opportunity to interact with experts in the field from all around the world. The target audience consists primarily of Master’s and Doctoral students, academics, professionals and practitioners from all around the world, with some exposure to Machine Learning / Deep Learning. Participants will be selected on the basis of merit and to promote diversity. Diversity is one of our founding values and we specifically encourage participants from underrepresented groups to apply.
The program will include social or cultural activities to foster networking. Participants will be encouraged to (optionally) present their work at poster sessions during the school and to interact with our sponsors and with each other during the coffee breaks throughout the week.
The topics covered will include Natural Language Processing, Computer Vision, Generative Models, Reinforcement Learning and real world applications of Deep Learning.
For more information
All information on the school and on past editions can be found on the Mediterranean Machine Learning (M2L) website:
Web: www.m2lschool.org
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
