Applied Machine Learning 3 credits
Data mining and machine learning is an area within computer science with the goal of bringing meaning to and learning from data. This course mixes theory and practice, with a focus on applied machine learning where we learn what algorithms and approaches to apply on different types of data.

The course includes the following:
• Supervised learning, different types of data and data processing
• Algorithms for handling text documents
• Algorithms for handling data with numerical and categorical attributes
• Neural Networks
• Deep Learning for image recognition

The course will start on Tuesday October 9th and finish by the end of the semester.
The registration needs to be finalized no later than September 19th 2018

If you have any questions please turn to Johan Hagelbäck –

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