Erinevus lehekülje "Machine learning ITI8565" redaktsioonide vahel
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| 21. rida: | 21. rida: | ||
=Lectures = | =Lectures = | ||
| − | == | + | == Week 1 Distance function == |
[[Media:Lecture_1_Intorduction_and_DistanceFunction_ML_2021.pdf |Slides]] | [[Media:Lecture_1_Intorduction_and_DistanceFunction_ML_2021.pdf |Slides]] | ||
| − | == | + | == Week 2 Cluster analysis I == |
[[Media:Lecture_02_Cluster_Analysis_1_ML_2021.pdf |Slides]] | [[Media:Lecture_02_Cluster_Analysis_1_ML_2021.pdf |Slides]] | ||
| − | == | + | == Week 3 Cluster analysis II == |
[[Media:Lecture_03_Cluster_Analysis_2_Probabilistic_approachML_2021.pdf |Slides]] | [[Media:Lecture_03_Cluster_Analysis_2_Probabilistic_approachML_2021.pdf |Slides]] | ||
| − | == | + | == Week 3 Anomaly and outlier analysis == |
[[Media:Lecture_04_anomaly_and_otlier_analysis_ML2021.pdf |Slides]] | [[Media:Lecture_04_anomaly_and_otlier_analysis_ML2021.pdf |Slides]] | ||
| + | == Week 4 Supervised Learning I == | ||
| + | [[Media:Lecture_05_Classification_1_ML_2021.pdf |Slides]] | ||
Redaktsioon: 16. veebruar 2021, kell 10:19
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
- 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