Erinevus lehekülje "Machine learning ITI8565 (2017)" redaktsioonide vahel

Allikas: Kursused
Mine navigeerimisribale Mine otsikasti
P (Sven teisaldas lehekülje Machine learning ITI8565 pealkirja Machine learning ITI8565 (2017) alla)
 
(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: by appointment TBA
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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 ==
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[[Media:Intro_and_DTrees_ML2017_1.pdf ‎|Slides]]
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== Lecture 2: Distance and classification ==
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[[Media:Lecture2_ML2017_kNN.pdf |Slides]]
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== Lecture 3: Clustering I ==
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[[Media:Lecture3_ML2017_Clustering.pdf |Slides]]
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== Lecture 4: Clustering II ==
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[[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

Slides


Lecture 2: Distance and classification

Slides


Lecture 3: Clustering I

Slides

Lecture 4: Clustering II

Slides

Moodle environment at ained.ttu.ee has been updated.