Arvutiteaduse instituut
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  • Kursused
  • 2019/20 sügis
  • Masinõpe (MTAT.03.227)

Masinõpe 2019/20 sügis

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  • Lectures
  • Practice sessions
  • Homeworks
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Lectures

Lecture 01 - Sep 9 - Basics of linear classification

Slides, video

Lecture 02 - Sep 16 - K-nearest neighbours and Naive Bayes

Slides, video

Lecture 03 - Sep 23 - Linear regression and regularisation

Slides part 1, slides part 2, video

Lecture 04 - Sep 30 - Linear classification

Slides, video

Lecture 05 - Oct 7 - Distance-based and kernel methods

Slides, video

Oct 14 - TEST 1

Lecture 06 - Oct 21 - Decision trees

Slides, video

Lecture 07 - Oct 28 - Evaluation and scoring classifiers

Slides, video

Lecture 08 - Nov 4 - Class probability estimation and logistic regression

Slides, video

Lecture 09 - Nov 11 - Neural networks and deep learning

Slides part 1, slides part 2, video

Nov 18 - TEST 2

Lecture 10 - Nov 25 - Ensemble methods

Slides part 1, slides part 2, video

Lecture 11 - Dec 2 - Probabilistic graphical models

Slides, video

Lecture 12 - Dec 9 - Bayesian machine learning

Slides, video

Lecture 13 - Dec 16 - The world of machine learning - Guest lecturers: Markus Lippus (MindTitan), Mikhail Papkov

Slides, Slides (Markus Lippus), video

Jan 6 - TEST 3

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