Analysis of Multimodal Input for Emotion Recognition is an advanced, hands-on course that teaches you how to build AI systems capable of understanding human emotions through facial expressions, voice, text, and physiological signals. You will work with real-world data and machine learning techniques to combine multiple sources of information into powerful emotion recognition models, while also learning how to evaluate accuracy, fairness, and ethical impact. Designed for students interested in artificial intelligence, data science, and human-centered technology, this course equips you with the skills to create intelligent systems that perceive and respond to human emotions in a truly sophisticated way.
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