Machine Learning

Content

Students will understand and learn how to develop and use key machine learning algorithms.

The first part of the course focuses on supervised learning, in the parametric and nonparametric case as well, and covers computational and modeling issues.

The second part explores advanced topics like deep learning, unsupervised learning, variable  selection, dictionary learning and manifold learning.

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Instructor(s)

Lorenzo Rosasco

Lorenzo Rosasco

Associate Professor of Computer Science

Machine Learning and Learning Algorithms

Alessandro Verri

Alessandro Verri

Professor of Computer Science

Machine Learning

Effort Breakdown

  • Class
  • Lab
  • Project
  • Outside Preparation