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Course unit, curriculum year 2020–2021
DATA.ML.100

Introduction to Pattern Recognition and Machine Learning, 5 cr

Tampere University
Teaching periods
Active in period 1 (1.8.2020–18.10.2020)
Course code
DATA.ML.100
Language of instruction
English
Academic year
2020–2021
Level of study
Basic studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Joni Kämäräinen
Responsible organisation
Faculty of Information Technology and Communication Sciences 100 %
  • Linear regression
  • Linear classification
  • Bayesian learning
  • Probability distributions
  • Hierarchical and K-means clustering
  • Spectral clustering and Self-organizing map (SOM)
  • Neural networks
  • Learning sets of rules
  • Decision tree learnin
  • Reinforcement learning
  • Concept learning
  • Support vector machines
  • Random forests
Learning outcomes
Prerequisites
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1

Participation in teaching

24.08.2020 08.10.2020
Active in period 1 (1.8.2020–18.10.2020)