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Explore strategies for addressing non-standard machine learning tasks with limited datasets in this tutorial from DSC Europe 24. Dmitrii Solomonov guides participants through the challenges of working with small datasets and demonstrates practical techniques to maximize their potential. Learn effective decision-making frameworks for technology selection and methods to overcome data limitations when tackling unique problem domains. The presentation covers the journey from unusual use cases (like walruses) to implementing effective code solutions for specialized machine learning challenges. This tutorial was delivered on November 19th at the Data Science Conference Europe 2024 in Belgrade.
