Machine learning ITI8565

Allikas: Kursused
Redaktsioon seisuga 12. aprill 2022, kell 10:40 kasutajalt Sven (arutelu | kaastöö)
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Machine learning ITI8565

Spring term 2022

ITI8565: Machine learning

Taught by: Sven Nõmm

EAP: 6.0

The course will continue purely in online mode!!!

Lectures on Tuesdays 13:45-15:15 Online only in MS Teams environment

Practices on Thursdays 13:40-15:10 Online only in MS Teams environment

Please use code HAL900 to join TalTech Moodle page of the course.


Lectures

Week 1 Introduction, Distance function

Slides

Week 2 Cluster analysis I

Slides

Week 3 Cluster analysis II (Probabilistic approach; Outlier and Anomaly Analysis)

Slides

Slides

Week 4 Supervised learning I: Feature selection kNN and regression

Slides

Week 5 Supervised learning II: Regression and decision trees

Slides

Week 6 Supervised learning III: Gradient descent

Slides

Week 7 Supervised learning IV: Support Vector Machine

Slides

Week 9 Supervised learning IV: Model quality boosting

Slides

Week 10 Supervised learning IV: Model quality boosting

Slides

Week 11 Neural Networks I

Slides

Week 12 Neural Networks II

Slides

  • 91 < score -- grade 5 (excellent)
  • 81 < score < 90 -- grade 4 (very good)
  • 71 < score < 80 -- grade 3 (good)
  • 61 < score < 70 -- grade 2 (satisfactory)
  • 51 < score < 60 -- grade 1 (acceptable)

score ≤ 50 -- a student has failed the course