You are browsing the curriculum of a past academic year (2020–2021).
Do you want to change to the ongoing academic year?
Course unit, curriculum year 2020–2021
DATA.ML.100
Introduction to Pattern Recognition and Machine Learning, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 1 (1.8.2020–18.10.2020)
Course code
DATA.ML.100Language of instruction
EnglishAcademic year
2020–2021Level of study
Basic studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Joni KämäräinenResponsible 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)