Machine Learning Summer School 2027

The Machine Learning Summer School (MLSS) series, founded in 2002, is dedicated to providing high-quality education on fundamental and cutting-edge topics in machine learning and statistical inference. MLSS Okinawa 2027 continues this tradition, following the great success of MLSS Okinawa 2024, which brought together over 250 participants from around the world and received overwhelmingly positive feedback.

The primary aim of MLSS is to address the shortage of formal machine learning education in university curricula by offering an intensive two-week learning experience led by world-class researchers and practitioners. Through a carefully curated series of lectures, the summer school presents a comprehensive overview of machine learning, from theoretical foundations to state-of-the-art methods and applications.

In addition to academic learning, MLSS serves as a platform for community building and international collaboration. It offers participants the opportunity to expand their research network, engage in discussions with leading experts, and form connections that may lead to future collaborations. The school fosters an interdisciplinary and inclusive environment where ideas can be freely exchanged across fields and levels of experience.

MLSS Okinawa 2027 aims to host 200 highly motivated participants. While its primary audience is master’s and PhD students with a strong technical background in machine learning-related fields, a limited number of exceptional undergraduate students, faculty members, researchers, and industry professionals may also be accepted. Industrial participants may join via sponsorship opportunities. All attendees are expected to be familiar with Python programming, as well as basic concepts in linear algebra, calculus, probability, and statistics.

Building on the momentum of MLSS Okinawa 2024, the 2027 edition seeks to further strengthen the global machine learning community by providing a vibrant, intellectually rich, and collaborative environment for learning and discovery.

Workshop website:  https://www.oist.jp/conference/machine-learning-summer-school-2027

OIST is deeply committed to the advancement of women in science, in Japan and worldwide. Women are strongly encouraged to apply.