The Canadian Institute of Technology hosted an open lecture titled “Machine Learning Methods for Statistical Analysis”, featuring Dr. Maria João Polidoro, lecturer at the School of Technology and Management and member of the Board of Directors of the Portuguese Statistical Society (SPE), Portugal.

Drawing on her extensive academic and institutional experience in statistical science, data analytics, and quantitative modeling, Dr. Polidoro explored the growing role of Machine Learning in modern statistical analysis and evidence-based decision-making.

The lecture highlighted how contemporary Machine Learning methodologies can enhance statistical inference, improve predictive accuracy, and support robust analytical frameworks for interpreting complex datasets across a wide range of scientific and industrial applications.

The event provided students and academic staff with valuable insights into the intersection of statistics and artificial intelligence, emphasizing the importance of data-driven approaches in addressing real-world challenges and advancing research and innovation.