Machine learning ITI8565
Spring term 2023
ITI8565: Machine learning
Taught by: Sven Nõmm
Lectures on Tuesdays 15:30-17:00 ICT-A1
Practices on Thursdays 16:30-17:00 ICT-401
Consultations is by appointment only! Please do not hesitate to ask for consultation!
Precise descriptions of the home assignments and supplementary files will be distributed via TalTech Moodle environment ONLY!!!
If necessary updated versions of the lectures will be distributed among the students via course page in TalTech Moodle environment!!!
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
Week 13 Deep Learning II: Convolutional neural networks
Week 14 Deep Learning II: Transformers
14.05.2023 23:59 Deadline to submit home assignment III!!!
- 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