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 18 vahepealset redaktsiooni)
1. rida: 1. rida:
Previous years: [https://courses.cs.ttu.ee/pages/Machine_learning 2015]
+
Previous years: [https://courses.cs.ttu.ee/pages/Machine_learning 2016]
  
Spring 2015/2015
+
Spring 2016/2017
  
 
ITI8565: Machine learning
 
ITI8565: Machine learning
9. rida: 9. rida:
 
EAP: 6.0
 
EAP: 6.0
  
Time and place: Thursdays
+
Time and place:  
   Lectures: 14:00-15:30  ICT-A1
+
   Lectures: Tuesdays 16:00-17:30  ICT-A1
   Labs: 16:00-17:30  ICT-402
+
   Labs: Thursdays  16:00-17:30  ICT-402
  
  Consultation: by appointment TBA
+
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
 
Additional information: sven.nomm@ttu.ee
 
The course is organised by [http://cs.ttu.ee the Department of Comptuer Science]. The course is supported by [http://studyitin.ee/ IT Academy].
 
  
 
==Evaluation==
 
==Evaluation==
27. rida: 27. rida:
 
*61 < score < 70 -- grade 2 (satisfactory)
 
*61 < score < 70 -- grade 2 (satisfactory)
 
*51 < score < 60 -- grade 1 (acceptable)
 
*51 < score < 60 -- grade 1 (acceptable)
score ≤ 50 -- a student has failed to pass
+
score ≤ 50 -- a student has failed the course
  
 
=Lectures =
 
=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 be provided by means of Moodle (To be set up by 10.02.2017)
 
 
=Lecture 1: Introduction and Decision Trees =
 
[[Media:Intro_and_DTrees_ML2016_1.pdf ‎|Slides]]
 
==Practice 1==
 
[[Media:Practice_1_ML2016.zip ‎|Code and data examples]]
 
 
 
= Please Observe the practice room change starting 12.02.2016 ICT-402 !!!=
 
=Lecture 2: k- Nearest Neighbors  =
 
[[Media:Lecture2_ML2016_kNN.pdf |Slides]]
 
 
 
[http://ciml.info/dl/v0_8/ciml-v0_8-ch02.pdf Reading]
 
 
 
==Practice 2==
 
[[Media:Data_lecture2.zip ‎|Data]]
 
 
 
 
 
=Lecture 3: K- Means  =
 
[[Media:Lecture3_ML2016_K_means.pdf |Slides]]
 
 
 
=NB!  Moodle environment for the course has been activated=
 
If you need the code to enroll please contact the teacher by e-mail.  
 
I will continue to upload lecture slides here. All other resources including home assignments will be available thorough the moodle only!!!
 
 
 
=Lecture 4: Linear Regression  =
 
[[Media:Lecture4_ML2016_Linear_Regression.pdf |Slides]]
 
 
 
= Home Assignment 1 =
 
Home Assignment 1 is available in Moodle! The deadline is 15.03.2016 23:55 !
 
  
=Lecture 5:   =
+
== Lecture 1: Intro ==
[[Media:Lecture5_ML2016_GMM_EM_Clusters.pdf |Slides]]
+
[[Media:Intro_and_DTrees_ML2017_1.pdf |Slides]]
  
=Lecture 6:  =
 
[[Media:Lecture6_ML2016_Neural_Networks.pdf |Slides]]
 
  
=Lecture 7:   =
+
== Lecture 2: Distance and classification ==
[[Media:Lecture7_ML2016_Logistic_Regression.pdf |Slides]]
+
[[Media:Lecture2_ML2017_kNN.pdf |Slides]]
  
=Lecture 8:  =
 
[[Media:Lecture8_ML2016_Competitive_Learning.pdf |Slides]]
 
  
=Lecture 9:   =
+
== Lecture 3: Clustering I ==
Due to a number of requests to postpone the Test Nr1.
+
[[Media:Lecture3_ML2017_Clustering.pdf |Slides]]
Test Nr1. will take place on Thursday April the 7th.  
 
  
On march the 31st studies will take place as usually.
+
== Lecture 4: Clustering II ==
[[Media:Lecture9_ML2016_N_Markov_chains_and_hMm.pdf |Slides]]
+
[[Media:Lecture4_ML2017_Clustering2.pdf |Slides]]
  
=Test 1:  07.04.2016 =
+
Moodle environment at ained.ttu.ee has been updated.
Nothing is scheduled for today  practice, but the room will be opened for your self practice.
 
Sven will be around to answer your questions.
 
There will be no consultation today
 

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.