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Data-analysis and machine learning

Individual course

The aim of this course is to learn different techniques for modeling dynamic systems using data and understand the limitation of data-based models.

Content:

Review of statistical concepts

Stochastic disturbances

Model types suitable for describing static and dynamical systems

  • linear difference equations (finite and infinite impulse response models)
  • neural networks
  • support vector machines

Fitting of models to data using

  • linear regression
  • numerical optimization

Classification models

  • introduction to deep learning

Responsible teacher

Åbo Akademi
Jari Böling
jari.boling(at)abo.fi

Contact person for applications

FITech
Pilvi Lempiäinen , Head of study services
pilvi.lempiainen(at)fitech.io
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Category:
Technical studies
Topic:
Industrial engineering and management
Course code:
PS00CD54
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
11.1.–21.3.2021
Application deadline:
Application dates will be announced later
Host university:
Åbo Akademi University
Study is open for:
Adult learner,
Degree student
Teaching methods:
Contact
Place of contact learning:
Turku
Language:
English
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