Erinevus lehekülje "Machine learning ITI8565 (2017)" redaktsioonide vahel
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| 29. rida: | 29. rida: | ||
score ≤ 50 -- a student has failed to pass | score ≤ 50 -- a student has failed to pass | ||
| − | + | =Lectures = | |
Lecture slides, necessary files, links and other necessary information would appear here before the lecture or practice. | Lecture slides, necessary files, links and other necessary information would appear here before the lecture or practice. | ||
| − | + | =Lecture 1: Introduction and Decision Trees = | |
[[Media:Intro_and_DTrees_ML2016_1.pdf |Slides]] | [[Media:Intro_and_DTrees_ML2016_1.pdf |Slides]] | ||
| − | =Practice 1= | + | ==Practice 1== |
[[Media:Practice_1_ML2016.zip |Code and data examples]] | [[Media:Practice_1_ML2016.zip |Code and data examples]] | ||
Redaktsioon: 9. veebruar 2016, kell 13:54
Previous years: 2015
Spring 2015/2015
ITI8565: Machine learning
Taught by: Sven Nõmm
EAP: 6.0
Time and place: Thursdays
Lectures: 14:00-15:30 ICT-A1 Labs: 16:00-17:30 ICT-405
Consultation: by appointment TBA
Additional information: sven.nomm@ttu.ee
The course is organised by the Department of Comptuer Science. The course is supported by IT Academy.
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 to pass
Lectures
Lecture slides, necessary files, links and other necessary information would appear here before the lecture or practice.