Dimensionality & High Dimensional Data: Definition, Examples, Curse of
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AI TECH SIMPLIFIED on Instagram: "Q.1 What is curse of dimensionality? How would you handle it? A.1 The dimensions of a model are decided by the number of features. If a model has large number of features this means it deals with a large dimensional space. A machine learning model can comfortably work with let’s say 50-dimensional space, suddenly increasing the dimensions to 500 would be computationally expensive and practically challenging. Learning from 500 different features confuses the mode
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