Erinevus lehekülje "Machine learning ITI8565" redaktsioonide vahel
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== Week 13 Boosting the model quality == | == Week 13 Boosting the model quality == | ||
[[Media:Lecture_13_Model_Quality_Boosting_ML_2021.pdf |Slides]] | [[Media:Lecture_13_Model_Quality_Boosting_ML_2021.pdf |Slides]] | ||
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| + | == Week 14 Hidden Markov Models == | ||
| + | [[Media:Lecture_14_Hidden_Markov_Models_ML2021.pdf |Slides]] | ||
Redaktsioon: 29. aprill 2021, kell 14:46
Spring term 2021
ITI8565: Machine learning
Taught by: Sven Nõmm
EAP: 6.0
NB! At least in the beginning of the spring term all teaching will be conducted online. Please joint MS Teams! Team name Machine learning ITI8565; Spring term 2021 The code to join the team is gkq6q3q It is recommended to download and install MS Teams as standalone application and login there with TalTech UniID account.
Lectures on Tuesdays 14:00 - 15:30 Online in MS Teams
Practices on Thursdays 17:45 - 19:15 Online in MS Teams
Lectures
Week 1 Distance function
Week 2 Cluster analysis I
Week 3 Cluster analysis II
Week 3 Anomaly and outlier analysis
Week 4 Supervised Learning I
Week 5 Supervised Learning II
NB! Home assignment 1 will be distributed during the practice on 25.02.2021
Week 6 Supervised Learning III
Week 7
Closed book test on 16.03.2021
Defense of Home assignment I on 18.03.2021
Week 8 Supervised Learning IV
Week 9 Supervised Learning IV
Week 10 Supervised Learning V; Neural Networks
Week 11 Competitive learning
Week 12 XOR Neural networks
Week 13 Boosting the model quality
Week 14 Hidden Markov Models
- 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