Erinevus lehekülje "Machine learning ITI8565 (2017)" redaktsioonide vahel
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P (Sven teisaldas lehekülje Machine learning ITI8565 pealkirja Machine learning ITI8565 (2017) alla) |
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| (ei näidata sama kasutaja 8 vahepealset redaktsiooni) | |||
| 13. rida: | 13. rida: | ||
Labs: Thursdays 16:00-17:30 ICT-402 | Labs: Thursdays 16:00-17:30 ICT-402 | ||
| − | Consultation: | + | Consultation: There is no scheduled time for consultation this semester. If you need consultation just drom me an e-mail and I will find time to answer your questions! |
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Additional information: sven.nomm@ttu.ee | Additional information: sven.nomm@ttu.ee | ||
| 29. rida: | 31. rida: | ||
=Lectures = | =Lectures = | ||
Lecture slides, necessary files, links and other necessary information would be provided by means of Moodle (To be set up by 10.02.2017) | Lecture slides, necessary files, links and other necessary information would be provided by means of Moodle (To be set up by 10.02.2017) | ||
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| + | == Lecture 1: Intro == | ||
| + | [[Media:Intro_and_DTrees_ML2017_1.pdf |Slides]] | ||
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| + | == Lecture 2: Distance and classification == | ||
| + | [[Media:Lecture2_ML2017_kNN.pdf |Slides]] | ||
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| + | == Lecture 3: Clustering I == | ||
| + | [[Media:Lecture3_ML2017_Clustering.pdf |Slides]] | ||
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| + | == Lecture 4: Clustering II == | ||
| + | [[Media:Lecture4_ML2017_Clustering2.pdf |Slides]] | ||
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| + | Moodle environment at ained.ttu.ee has been updated. | ||
Viimane redaktsioon: 29. jaanuar 2018, kell 13:44
Previous years: 2016
Spring 2016/2017
ITI8565: Machine learning
Taught by: Sven Nõmm
EAP: 6.0
Time and place:
Lectures: Tuesdays 16:00-17:30 ICT-A1 Labs: Thursdays 16:00-17:30 ICT-402
Consultation: There is no scheduled time for consultation this semester. If you need consultation just drom me an e-mail and I will find time to answer your questions!
Additional information: sven.nomm@ttu.ee
Evaluation
- 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
Lectures
Lecture slides, necessary files, links and other necessary information would be provided by means of Moodle (To be set up by 10.02.2017)
Lecture 1: Intro
Lecture 2: Distance and classification
Lecture 3: Clustering I
Lecture 4: Clustering II
Moodle environment at ained.ttu.ee has been updated.