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Course

 1. Machine Learning Methods for Neuroengineering

In the context of neural data science, this course aims to provide students opportunity to understand the fundamentals of machine learning methods and to have hands-on experiences of analyzing neural data using those methods. An ultimate goal is to help students apply machine learning methods to their own research with clearer understanding of how they work.

Check out the class projects

Created by Taeyang Yang @ BCI LAB

Link to UNIST website
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