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  3. Machine Learning II (LTAT.02.004)
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Machine Learning II 2024/25 spring

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Homework points

  • Please follow requirements to home exercises!
  • The nominal score for each homework is 5 points.
  • You can score up to 7.5 points from each homework.
  • There are no restrictions how you choose exercises.

Homeworks

  • I. Performance measures
    • Deadline: 3rd of March
You must be logged in and registered to the course in order to submit solutions.
  • II. Frequentist methods
    • Deadline: 17th of March
You must be logged in and registered to the course in order to submit solutions.
  • III. Bayesian methods
    • Deadline: 7th of April
You must be logged in and registered to the course in order to submit solutions.
  • IV. Sequential models
    • Deadline: 21 of April
You must be logged in and registered to the course in order to submit solutions.
  • V. Normal distributions and affine projections
    • Deadline: 11 of May
You must be logged in and registered to the course in order to submit solutions.
  • VI. Model-based clustering
    • Deadline: 30 of May
You must be logged in and registered to the course in order to submit solutions.
  • VII. Expectation-Maximisation algorithm
    • Deadline: 23 of June / 30 of May
You must be logged in and registered to the course in order to submit solutions.
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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