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Lecture
Supervised Learning Fundamentals
Description
This lecture covers the basics of supervised learning, focusing on topics such as loss functions, probability distributions, and data generating processes. It explores the concepts through examples like handwritten digit classification, spam detection, and wind speed prediction.
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