This course is aimed at upper-level undergraduate and graduate students who wish to master the fundamental concepts of machine learning in a lab-like environment. Students will choose a relevant topic/dataset to explore and devise the best approach to extract knowledge from noisy data along with data visualizations for decision making. Graduate students will also conduct an in-depth overview of existing methods and approaches relevant to their topic.
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