Machine learning ITI8565

Allikas: Kursused
Redaktsioon seisuga 23. jaanuar 2023, kell 16:18 kasutajalt Sven (arutelu | kaastöö)
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Machine learning ITI8565

Spring term 2023

ITI8565: Machine learning

Taught by: Sven Nõmm

EAP: 6.0

  1. The course will continue purely in online mode!!!

Lectures on Tuesdays 15:30-17:00 ICT-A1

Practices on Thursdays 16:30-17:00 ICT-401


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

05.03.2023 23:59 Deadline to submit home assignment I!!!

Home Assignment I

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

30.03.2023 Test I!!!
02.04.2023 23:59 Deadline to submit home assignment II!!!

Home Assignment II


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


14.05.2023 23:59 Deadline to submit home assignment III!!!

Home Assignment II

Week 16

16.05.2023Test II!!!


  • 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