Machine Learning and Data Mining
This teaching unit will be held in class, i.e. face to face.
Introduction to Data Mining perspective; Association rules; Decision trees; Instance-based learning (nearest neighbors); Clustering; Support Vector machines (SVM); Evaluation (Train & Test, Cross-validation, Leaving-one-out); Data Streams.
T3 – Advanced Information Processing |
T6 – Data Science
The main objectives of this course is to introduce the students to the various techniques and strategies that can be used to
Practical exercises will complete the theoretical presentation.
Marcelo Pasin |
The course page in ILIAS can be found at https://ilias.unibe.ch/goto_ilias3_unibe_crs_1841349.html.
Schedules and Rooms
|Schedule||Monday, 08:15 - 12:00|