Machine learning ITI8565
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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!
Lectures
Week 1 Introduction, Distance function
Week 2 Cluster analysis I
Week 3 Cluster analysis II (Probabilistic approach; Outlier and Anomaly Analysis)
Week 4 Supervised learning I: Classification
Week 5 Supervised learning II: Regression
Week 6 Supervised learning III: Gradient descent
Week 7 Supervised learning V: Model quality boosting
Week 8 Closed book test 1
Week 9 Neural Networks I
Slides part I Slides part II Slides part III
Week 10 Sequential processes modelling: from Markov Models to LSTM
Week 11 Deep Learning I: Transformers
TBA
Week 12 Deep Learning II: Convolutional neural networks
TBA
Week 13 Deep Learning III: Generative AI
TBA
Week 14 Explainable AI
TBA
- 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