Machine Learning Summer School Okinawa (MLSS)

Szczegóły wydarzenia:

• Data:
• Czas: 09:00 AM-06:00 PM (expected)
• Lokalizacja: Japan , Onna
• Typ:

The Machine Learning Summer School in Okinawa is an immersive educational experience hosted at the OIST Auditorium from March 1 to March 12, 2027. This event gathers leading experts and enthusiasts in the field of machine learning, offering a unique platform for participants to deepen their understanding of advanced techniques and applications. Attendees will engage in a series of lectures, hands-on workshops, and collaborative projects, fostering a community of learners keen to explore the cutting-edge innovations shaping the future of artificial intelligence.

Najważniejsze punkty

• MLSS Okinawa 2027 continues the tradition of providing high-quality education on machine learning and statistical inference.
• The event aims to address the shortage of formal machine learning education in university curricula.
• Participants will experience an intensive two-week learning program led by world-class researchers and practitioners.
• The summer school offers a comprehensive overview of machine learning, from theoretical foundations to state-of-the-art methods and applications.
• MLSS serves as a platform for community building and international collaboration among participants.
• The event fosters an interdisciplinary and inclusive environment for idea exchange across various fields and experience levels.
• MLSS Okinawa 2027 aims to host 200 highly motivated participants, primarily master's and PhD students with a strong technical background.
• A limited number of exceptional undergraduate students, faculty members, researchers, and industry professionals may also be accepted.
• All attendees are expected to be familiar with Python programming and basic concepts in linear algebra, calculus, probability, and statistics.
• The event builds on the success of MLSS Okinawa 2024, which brought together over 250 participants from around the world.

View the event location on the map or open the route in Google Maps.