08 - 10 Apr 2026
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Machine Learning Summer School Okinawa (MLSS)
Timings
09:00 AM-06:00 PM (expected)
Entry Fees
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Estimated Turnout
Delegates
Events type
Event Details:
- Date:
- Time: 09:00 AM-06:00 PM (expected)
- Location: Japan , Onna
- Type:
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.
Highlights
- 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.
Event Location
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