Об этой возможности
A summer school to familiarize students with state-of-the-art topics in Data Science and Artificial Intelligence, combining lecture-style talks and hands-on sessions. It covers statistics and machine learning, large language models, agentic and causal AI, knowledge graphs, time series forecasting, XAI, databases and federated learning. Practical work uses Python and Jupyter Notebooks and students work on group mini-projects. The programme is taught by international academic and industry instructors.
Преимущества и финансирование
Lectures and hands-on training, practical experience with Python/Jupyter, group mini-project work, instruction by international researchers and industry experts.
Требования к участникам
Students with familiarity with computer programming and basic knowledge of Python; interest in working with data and willingness to learn new things.
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