From transcripts to game strategies: mathematical insights for advancing data science – Francesco Morandin (Università di Parma)


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Through a diverse range of topics, we explore the application of statistical modeling and AI algorithms in several realms. We showcase a statistical framework for transcriptomics data, two score-focused models for game strategy optimization, and how to attack open problems with the help of AI. By discussing these case studies, we reveal the power of mathematics as a driving force behind advancements in data science.

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