Johdatus koneoppimiseen

Algorithms and machine learning
Advanced studies
Basic concepts and methods of machine learning, in theory and in practice. Supervised learning (classification, regression) and unsupervised learning (clustering). The course serves as preparation for various courses on data analysis, machine learning and bioinformatics. Course book: Course book: An Introduction to Statistical Learning with Applications in R, Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani, Springer, 2013.
Year Semester Date Period Language In charge
2008 autumn 29.10-05.12. Finnish


Time Room Lecturer Date
Wed 12-14 C222 Matti Kääriäinen 29.10.2008-05.12.2008
Fri 12-14 C222 Matti Kääriäinen 29.10.2008-05.12.2008

Exercise groups

Group: 1
Time Room Instructor Date Observe
Wed 10-12 B221 Mika Urtela 27.10.2008—31.10.2008
Wed 10-12 C221 Mika Urtela 03.11.2008—05.12.2008

Ilmoittautuminen tälle kurssille alkaa tiistaina 7.10. klo 9.00.