This course provides a comprehensive introduction to the principles, algorithms, and applications of machine learning. Students will gain a foundational understanding of how computers can learn from data to make predictions and decisions without being explicitly programmed. The curriculum covers key machine learning paradigms, including supervised, unsupervised, and reinforcement learning.The course begins with an overview of the machine learning landscape and its relationship to AI
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