AI Thinking - Course Syllabus

The Artificial Intelligence Thinking course provides a comprehensive overview of artificial intelligence (AI) concepts and real-world applications. It covers various topics including classification algorithms, supervised vs. unsupervised learning, data preparation, and training/using learning models for predictions. The course also delves into ethical and legal considerations in AI, data acquisition and manipulation, machine learning algorithms, computer vision, natural language processing, and robotic sensing and manipulation. The instructional resources are curated to provide the latest advancements and diverse perspectives, ensuring flexibility to tailor content to class needs and incorporate emerging topics and industry practices.

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