Machine learning ITI8565

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Machine learning ITI8565

Spring term 2024

ITI8565: Machine learning

Taught by: Sven Nõmm

EAP: 6.0

Lectures on Tuesdays 12:00-17:00 ICT-A2

Practices on Thursdays 14:00-15:30 ICT-401

Consultations is by appointment only! Please do not hesitate to ask for consultation!

Information for perspective students:
You are welcome to join the course by means of ÕIS! 
On January the 29thth around afternoon ÕIS will generate welcome e-mail with the instructions to join Moodle page of the course. 

Slides below are mostly from the year 2023. You are welcome to use this material as the reference but be aware that this year the course content will be revised and a few news topics will be added.  

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: Classification

Slides

Week 5 Supervised learning II: Regression

Slides

Week 6 Supervised learning III: Gradient descent

Slides

Week 7 Supervised learning IV: Support Vector Machine

Slides

Week 8 Supervised learning V: Model quality boosting

Slides

Week 9 Markov Models

Slides



Week 10 Neural Networks I

Slides Slides


Week 11 Neural Networks II

Slides

Week 12 Deep Learning I: Sequential Models

TBP

Week 13 Deep Learning II: Convolutional neural networks

TBU Slides

Week 14 Deep Learning II: Transformers

TBU 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