In supervised learning, our labeled past guides us, like classifying CBSE maths problems as "algebra" or "geometry." Unsupervised learning finds hidden groups, like sorting student projects by common themes without any labels. And reinforcement learning... ah, that's like a student learning chess through trial and error, with each win or loss as feedback. I had to let my own reinforcement project gather dust because, in my tiny flat with one ancient laptop, watching that algorithm learn felt slower than waiting for my father's health to improve. Sometimes the real-world cost of time is the hardest teacher.
#marathon#road-running
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