Erinevus lehekülje "Machine learning ITI8565" redaktsioonide vahel

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64. rida: 64. rida:
 
== Lecture 12  Enseble learning==
 
== Lecture 12  Enseble learning==
 
[[Media:Lecture_11_Bagging_and_Ensembles_2018.pdf ‎|Slides]]
 
[[Media:Lecture_11_Bagging_and_Ensembles_2018.pdf ‎|Slides]]
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== Lecture 13  Markov Chains and Hidden Markov Models==
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[[Media:Lecture_12_Hidden_Markov_Models_2018.pdf ‎|Slides]]

Redaktsioon: 10. mai 2018, kell 08:44

Machine learning ITI8565

Previous years: 2017

Spring 2017/2018

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-401
 Self Practice Fridays 10:00 - 14:00 ICT-405

Consultation: TBA

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 1 Introduction and distance function

Slides

Lecture 2 Cluster Analysis I

Slides

Data sets for practice

Lecture 3 Cluster Analysis II Probabilistic approach

Slides

Lecture 4 Supervised Learning I

Slides

Lecture 5 Supervised Learning II

Slides

Lecture 6 Supervised Learning III

Slides

Lecture 7 Supervised Learning IV

Slides

Lecture 9 Supervised Learning VI: Neural Networks

Slides Slides

Lecture 10 Supervised Learning VII: Neural Networks

Slides

Lecture 11 Guest lecture on cybersecurity by Hayretdin Bahsi

Slides

Lecture 12 Enseble learning

Slides

Lecture 13 Markov Chains and Hidden Markov Models

Slides