Introduction to Machine Learning

Algoritmit ja koneoppiminen
Syventävät opinnot
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.


11.12.2013 09.00 B123
Vuosi Lukukausi Päivämäärä Periodi Kieli Vastuuhenkilö
2013 syksy 29.10-06.12. 2-2 Englanti Jyrki Kivinen


Aika Huone Luennoija Päivämäärä
Ti 10-12 D122 Jyrki Kivinen 29.10.2013-06.12.2013
Pe 10-12 D122 Jyrki Kivinen 29.10.2013-06.12.2013
Ma 12-14 C220 Jyrki Kivinen 09.12.2013-09.12.2013


Group: 1
Aika Huone Ohjaaja Päivämäärä Huomioitavaa
Pe 14-16 B222 Yuan Zou 04.11.2013—06.12.2013

On Tuesday 19th of November the lecture is moved to room B222!

Registration for this course starts on Tuesday October 8th at 9.00. There is additional guidance for Matlab/R on Tue October 29th at 12-14 in B221 and Fri November 1st at 12-14 in B221.

Information for international students

The course will be taught in English.  All materials will appear on the English version of this page.


  • The course has been graded.  The course results are available in the department intranet. 
  • Please fill in a feedback form for the course!
  • Details of the programming assignment for separate examinations are now available in the Examinations tab.


Kurssin opetuskieli on englanti.  Tarkemmat tiedot tulevat tämän sivun englanninkieliseen versioon.