Machine learning ITI8565
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Spring term 2023
ITI8565: Machine learning
Taught by: Sven Nõmm
EAP: 6.0
Lectures on Tuesdays 15:30-17:00 ICT-A1
Practices on Thursdays 16:30-17:00 ICT-401
Precise descriptions of the home assignments and supplementary files will be distributed via TalTech Moodle environment ONLY!!!
If necessary update versions of the lectures will be distributed among the students via course page in TalTech Moodle environment!!!
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