VII Course on Machine Learning and Central Banking (practical) Curso

The models learned will be applied in the practical part of the course. Therefore, participants will be asked to propose projects of interest within their jurisdictions to be addressed during the sessions.

The objective of the course is to strengthen participants' data analysis skills through the practical application of statistical models and technological tools. The course aims to help attendees develop relevant projects for their jurisdictions, enabling them to address specific issues using data-driven approaches and improve decision-making within their institutions.

The course is designed for professionals with experience in data management in fields such as information technology, statistics, and research departments of CEMLA members and collaborating institutions. Participants are required to have a fundamental understanding of data analysis and the use of statistical software.