MLG 032 Cartesian Similarity Metrics
Machine Learning Guide
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Using Distance and Similarity Metrics in Machine Learning
We are almost always going to be working with vectors in machine learning. A vector may represent a probability distribution, where each point is the distribution of some variable that does not map to a point in space. In this episode we'll talk about different types of distance and similarity metric.
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