This course introduces learners to the fundamentals of machine learning with a focus on sound data. By the end of the course, students will be able to understand the basics of machine learning, apply machine learning techniques to sound data, and build machine learning models for sound classification. The course teaches skills such as data preprocessing, feature extraction, model training, and evaluation. The teaching method includes video lectures, hands-on labs, and quizzes. This course is intended for beginners with an interest in machine learning and sound data analysis.
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