Excelsior University 3 credits Computer Science
This course examines machine learning, emphasizing supervised, unsupervised, and reinforcement learning algorithms. Students will gain proficiency in implementing and interpreting these algorithms. This course introduces fundamental concepts in ethical AI, transparency, bias mitigation, security, accountability, and social impact. Students engage in discussions on accessibility and inclusivity in AI development, establishing a practical and ethical foundation for responsible AI development
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