Freie Universität Berlin
Master of Science, Data Science
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• Courses: Machine learning, statistics, deep learning in biomedical applications, computer vision in biomedical images, AI, explainable AI, self-supervised learning, and data visualization • Developed and deployed a healthcare data visualization application with Streamlit using datasets from Robert Koch Institute, in collaboration with Charite University Hospital • Tracked the movement of hens in a barn using object detection with YOLO v7, and extracted video frames using OpenCV in Python • Thesis on comparing the performance of LLMs and traditional machine learning models in reflective writing classification tasks, Human-Centered Computing research group, Freie Universität Berlin
Se Yeon K. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Data Science
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