Erinevus lehekülje "Machine learning ITI8565" redaktsioonide vahel

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1. rida: 1. rida:
 
[[Machine learning ITI8565]]
 
[[Machine learning ITI8565]]
  
Previous years: [[Machine learning ITI8565 (2017)|2017]]
+
Previous years: [[Machine learning ITI8565 (2018)|2018]]
  
Spring 2017/2018
+
Spring 2018/2019
  
 
ITI8565: Machine learning
 
ITI8565: Machine learning
12. rida: 12. rida:
  
 
Time and place:  
 
Time and place:  
   Lectures: Tuesdays 16:00-17:30  ICT-A1
+
   Lectures: Thursdays 14:00-15:30  ICT-A1
 
   Labs:  Thursdays  16:00-17:30  ICT-401
 
   Labs:  Thursdays  16:00-17:30  ICT-401
  Self Practice Fridays 10:00 - 14:00 ICT-405
+
 
Consultation: TBA
+
Consultation: By appointment.
 
   
 
   
Additional information: sven.nomm@ttu.ee
+
Additional information: sven.nomm@taltech.ee
  
 
==Evaluation==
 
==Evaluation==
29. rida: 29. rida:
  
 
=Lectures =
 
=Lectures =
== Lecture 1  Introduction and distance function ==
 
[[Media:Lecture_1_Intorduction_and_DistanceFunction_ML_2018.pdf ‎|Slides]]
 
 
== Lecture 2  Cluster Analysis I ==
 
[[Media:Lecture_2_Cluster_Analysis_1_ML_2018.pdf ‎|Slides]]
 
 
[[Media:Data_sets.zip ‎|Data sets for practice]]
 
 
== Lecture 3  Cluster Analysis II Probabilistic approach ==
 
[[Media:Lecture_3_Cluster_Analysis_2_ML_2018.pdf ‎|Slides]]
 
 
== Lecture 4  Supervised Learning I  ==
 
[[Media:Lecture_4_Classification_1_ML_2018.pdf ‎|Slides]]
 
 
== Lecture 5  Supervised Learning II  ==
 
[[Media:Lecture_5_Classification_2_ML_2018.pdf ‎|Slides]]
 
 
== Lecture 6  Supervised Learning III  ==
 
[[Media:Lecture_6_Gradient_descent_andmore_ML_2018.pdf ‎|Slides]]
 
 
== Lecture 7  Supervised Learning IV  ==
 
[[Media:Lecture_7_Support_Vector_Machines_Kernel_Trick_ML_2018.pdf ‎|Slides]]
 
 
== Lecture 9  Supervised Learning VI: Neural Networks  ==
 
[[Media:Lecture_9_Neural_Networks_ML_2018.pdf ‎|Slides]]
 
[[Media:Lecture_9_part2_Neural_Networks_ML_2018.pdf ‎|Slides]]
 
 
== Lecture 10  Supervised Learning VII: Neural Networks  ==
 
[[Media:Lecture_10_Neural_Networks_ML_2018.pdf ‎|Slides]]
 
 
== Lecture 11  Guest lecture on cybersecurity by Hayretdin Bahsi==
 
[[Media:Cyber_Security_Guest_Lecture.pdf ‎|Slides]]
 
 
== Lecture 12  Enseble learning==
 
[[Media:Lecture_11_Bagging_and_Ensembles_2018.pdf ‎|Slides]]
 
 
== Lecture 13  Markov Chains and Hidden Markov Models==
 
[[Media:Lecture_12_Hidden_Markov_Models_2018.pdf ‎|Slides]]
 

Redaktsioon: 30. jaanuar 2019, kell 16:45

Machine learning ITI8565

Previous years: 2018

Spring 2018/2019

ITI8565: Machine learning

Taught by: Sven Nõmm

EAP: 6.0

Time and place:

 Lectures: Thursdays 14:00-15:30  ICT-A1
 Labs:  Thursdays   16:00-17:30  ICT-401

Consultation: By appointment.

Additional information: sven.nomm@taltech.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