About the course
The course provides knowledge to address various data science problems and datasets. At the end of the course, you will be able to define and clarify what data mining is about, be familiar with the standard CRISP data mining approach, be able to use one of the most frequently used toolkits in data mining, the rapidminer, and become familiar with several methods in data mining. A focus lies on machine learning techniques for classification, regression, and clustering. The course covers different examples of text and image analytics in association with real business scenarios.
Course coordinator / teacher
Marcus Liwicki, works as a professor and Head of Subjec,at the division of Embedded Intelligent Systems LAB, Department of Computer Science, Electrical and Space Engineering. His also Deputy Vice-Chancellor for applied AI, Luleå University of Technology. Marcus teaches Machine Learning, Advanced Data Mining, Neural networks and learning machines, Introduction to Artificial Intelligence and Advanced deep learning.