Erinevus lehekülje "Machine learning ITI8565" redaktsioonide vahel

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[[Machine learning ITI8565]]
 
[[Machine learning ITI8565]]
  
Spring term 2020
+
Spring term 2021
  
 
ITI8565: Machine learning
 
ITI8565: Machine learning
9. rida: 9. rida:
 
EAP: 6.0
 
EAP: 6.0
  
 +
NB! At least in the beginning of the spring term all teaching will be conducted online.
 +
Please joint MS Teams! Team name Machine learning ITI8565; Spring term 2021  The code to join the team is '''gkq6q3q'''
  
'''[[NB! Starting 19.03.2020 lectures take place online using MS teams environment!!!  ITI8565 Machine learning team]]'''
 
Lecture slides and all other necessary files are shared in
 
ained.ttu.ee (your account should be linked to your e-mail!)
 
Also all the files uploaded to the ITI8565 Machine learning team.
 
  
 +
Lectures on Tuesdays 14:00 - 15:30  Online in MS Teams
 +
Practices on Thursdays 17:45 - 19:15  Online in MS Teams
  
  
Time and place:
 
  Lectures: Thursdays 14:15-15:45  ICT-315
 
  Labs:  Thursdays  16:00-17:30  ICT-401
 
  
Consultation: By appointment. Please do not hesitate to ask for an appointment.
 
 
Additional information: sven.nomm@taltech.ee
 
  
Lecture slides will appear here each week AFTER the lecture!
 
Moodle environment @ ained.ttu.ee will be available for registration on  30.01.2020  16:00.
 
  
=Lectures =
 
== Lecture 1  Introduction ==
 
[[Media:Lecture_1_Intorduction_and_DistanceFunction_ML_2020.pdf ‎|Slides]]
 
 
== Lecture 2  Cluster Analysis 1 ==
 
[[Media:Lecture_2_Cluster_Analysis_1_ML_2020.pdf ‎|Slides]]
 
 
== Lecture 3  Cluster Analysis 2 ==
 
[[Media:Lecture_3_Cluster_Analysis_2_ML_2020.pdf ‎|Slides]]
 
 
== Lecture 4  Supervised learning 1 ==
 
[[Media:Lecture_4_Classification_1_ML_2020.pdf ‎|Slides]]
 
 
== Lecture 5  Supervised learning 2 ==
 
[[Media:Lecture_5_Classification_2_ML_2020.pdf ‎|Slides]]
 
 
== Lecture 6  Supervised learning 3 ==
 
[[Media:Lecture_6_Gradient_descent_andmore_ML_2020.pdf ‎|Slides]]
 
 
== Lecture 7  Supervised learning 4 ==
 
[[Media:Lecture_7_Support_Vector_Machines_Kernel_Trick_ML_2020.pdf ‎|Slides]]
 
 
== Lecture 8  Supervised learning 5 ==
 
[[Media:Lecture_8_1_Supervised_learning_NaiveBayes.pdf ‎|Slides]]
 
[[Media:Lecture_8_Neural_Networks_ML_2020.pdf ‎|Slides]]
 
[[Media:Lecture_8_part2_Neural_Networks_ML_2020.pdf ‎|Slides]]
 
 
== Lecture 9 Supervised learning 6 ==
 
[[Media:Lecture_09_Neural_Networks_ML_2020.pdf ‎|Slides]]
 
 
== Lecture 11 Supervised learning 6 ==
 
[[Media:Lecture_10_Practical_ML_2020.pdf ‎|Slides]]
 
 
== Lecture 12 Markov chains and hidden Markov models==
 
[[Media:Lecture_12_Hidden_Markov_Models_2020.pdf ‎|Slides]]
 
 
== Lecture 13 Trace, explain and interpret ==
 
[[Media:Lecture_13_Trace_Explain_Interpret_2020.pdf ‎|Slides]]
 
 
==Evaluation==
 
  
 
*91 < score      -- grade 5 (excellent)
 
*91 < score      -- grade 5 (excellent)

Redaktsioon: 21. jaanuar 2021, kell 11:18

Machine learning ITI8565

Spring term 2021

ITI8565: Machine learning

Taught by: Sven Nõmm

EAP: 6.0

NB! At least in the beginning of the spring term all teaching will be conducted online. Please joint MS Teams! Team name Machine learning ITI8565; Spring term 2021 The code to join the team is gkq6q3q


Lectures on Tuesdays 14:00 - 15:30 Online in MS Teams Practices on Thursdays 17:45 - 19:15 Online in MS Teams




  • 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