B8271 - Supervised Statistical Learning

Academic Year 2026/2027

  • Teaching Mode: In-person learning (entirely or partially)
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Statistical Sciences (cod. 6810)

    Also valid for Second cycle degree programme (LM) in Statistical Sciences (cod. 6810)

Learning outcomes

By the end of the course the student knows the fundamentals of the most important multivariate techniques to build supervised statistical models for predicting or estimating an output based on one or more inputs. The student is able to represent and organize knowledge about large-scale data collections, and to turn data into actionable knowledge.

Syllabus

The syllabus has not been published yet.

Office hours

See the website of Laura Anderlucci