Data Science in Physics

Title

Data science in physics constitutes an applied branch of scientific computing and simulation focused on extracting patterns and knowledge from large volumes of physical data.
Its foundation lies in statistical methods, machine learning and hybrid modeling that integrate experimental observations with known theoretical principles.
In addition, this discipline deals with classification analysis, regression, anomaly detection and dimensional reduction, which makes it possible to accelerate discoveries and improve scientific predictions.

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