Machine Learning and Artificial Intelligence
These lecture notes are designed as accompanying material for the Machine Learning and Artificial Intelligence graduate student course. The course provides a gentle introduction to exploratory data analysis, machine learning, visual data analytics, and artificial intelligence. Students will learn how to accomplish various machine learning tasks through visual programming, using Orange as our tool of choice for this course.
The notes were prepared by Blaž Zupan and Janez Demšar. Special thanks to Ajda Pretnar Žagar for the earlier version of the material. We would like to acknowledge all the help from the members of the Bioinformatics Lab at University of Ljubljana, Slovenia.
The material is offered under Create Commons CC BY-NC-ND licence.