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

Machine learning ITI8565

Sisukord

Evaluation

Lectures

Lecture 1 Introduction and distance function

Lecture 2 Cluster Analysis I

Lecture 3 Cluster Analysis II Probabilistic approach

Lecture 4 Supervised Learning I

Lecture 5 Supervised Learning II

Lecture 6 Supervised Learning III

Lecture 7 Supervised Learning IV

Lecture 9 Supervised Learning VI: Neural Networks

Lecture 10 Supervised Learning VII: Neural Networks

Lecture 11 Guest lecture on cybersecurity by Hayretdin Bahsi

Lecture 12 Enseble learning

Lecture 13 Markov Chains and Hidden Markov Models

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