Is k-Nearest Neighbors algorithm used a lot in real life

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the k-Nearest Neighbors is mentioned as one of the most popular algorithms for data scientist in many articles, but in the book "Introduction to Machine Learning with Python: A Guide for Data Scientists" authors mention that this algorithm is rarely used in real life due to "prediction being slow and its inability to handle many features" . Can someone explain it.
Feb 28 in Machine Learning by Dev
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