Statistical learning methods

Additional Info

  • ECTS credits: 6
  • University: University of Nice - Sophia Antipolis
  • Semester: 3
  • Objectives:


    The purpose of this course is to provide a self-contained introduction to the field of machine learning, based on a probabilistic approach. Machine learning is indeed a very active field, which has met with great success in academia and in industry. The first part of the lectures will be dedicated to the analysis of the expectation-maximization (EM) algorithm. The second part will address latent linear models and the last one will focus on the notion of kernels.

  • Topics:


    Machine learning, Bayesian statistics, Information theory, Classification, Regression

Read 7010 times Last modified on Tuesday, 20 February 2018 17:16
Home Structure Semester 2 Course units Statistical learning methods

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