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Machine learning for mobile and pervasive systems
Individual course
Max amount of FITech students: 25
During this course, students will learn good practices for machine learning with noisy and inaccurate data.
Course contents
Feature extraction/feature subset selection, handling high dimensional data, ANN + deep learning, probabilistic graphical models, topic models as well as unsupervised learning and clustering, anomaly detection and recommender systems.
Course material
Lecture handouts/slides.
Teaching schedule
Lectures on Wednesdays & Fridays at 14–16.
Completion methods
Examination, assignments and group works.
More information in the Aalto University study guide.
You can get a digital badge after completing this course.
Responsible teacher
Aalto University
Stephan Sigg
stephan.sigg(at)aalto.fi
Contact person for applications
FITech Network University
Monica Sandberg, Student services specialist
monica.sandberg(at)fitech.io
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Category:
ICT Studies
Topics:
5G technology,
AI and machine learning
AI and machine learning
Course code:
ELEC-E7260
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
12.1.–13.4.2022
Application deadline:
Application period has ended
Host university:
Aalto University
Study is open for:
Adult learner
Teaching methods:
Contact
Place of contact learning:
Espoo
Language:
English
General prerequisites:
Recommended: skilled in programming.
