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Advanced Data Mining

7.5 Credits, Course, master's level, D7043E
The course is set out to provide knowledge to address data science problems. It focuses on machine learning techniques such as decisions trees and logistic regression, Expectation Maximization, Support Vector Machines, Markov and Bayesian networks.


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The course syllabus includes a description of the course and literature to be used. Within ten weeks before the course starts, a current course syllabus is published.

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For detailed questions about the course please do not hesitate to contact us.

Marcus Liwicki

Marcus Liwicki, Professor and Head of Subject, Chaired Professor

Organisation: Machine Learning, Embedded Internet Systems Lab, Department of Computer Science, Electrical and Space Engineering
Phone: +46 (0)920 491006
Room: A3570 - Luleå»