Applied Machine Learning and Data Mining for Performance Analysis, 7,5 credits

The course covers how to process and draw conclusions from data through data mining and machine learning. The course introduces some theory on machine learning, but mainly focuses on current applied methods useful in sports.

The following is included in the course:

• Statistical and probabilistic methods for data analysis
• Different methods for data mining
• Algorithms for supervised and unsupervised machine learning
• Neural networks and deep learning
• Data extraction: purpose and typical use cases in performance analysis
• Routines for importing, combining, converting and selecting data for learning and validation
• Validation methods and performance measures
• Visualization and analysis of results from data analysis
• Ethics and regulations concerning use and processing of personal data