Machine learning ITI8565
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Spring term 2023
ITI8565: Machine learning
Taught by: Sven Nõmm
EAP: 6.0
- 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
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
05.03.2023 23:59 Deadline to submit home assignment I!!!
Week 6 Supervised learning III: Gradient descent
Week 7 Supervised learning IV: Support Vector Machine
Week 8 Supervised learning V: Model quality boosting
Week 9 Markov Models
30.03.2023 Test I!!!
02.04.2023 23:59 Deadline to submit home assignment II!!!
Week 10 Neural Networks I
Week 11 Neural Networks II
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!!!
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