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Lecture
Machine Learning Fundamentals
Description
This lecture covers the basics of machine learning, including algorithms that provide knowledge to computers through data, observations, and interaction with the world. Topics include supervised classification, k-nearest-neighbor classifier, perceptron, logistic regression, maximizing the margin, and non-linearly separable data.
Official source
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