supervised and un-supervised learning - what are the two types of learning algorithm?, Data scientist - supervised learning requires : , labeled - supervised data should be , classification and regression - example of supervised data : , clustering - example of unsupervised data , gives accurate outputs - advantage of supervised learning , requires less time and effort - advantage of unsupervised learning , needs more time and effort - disadvantage of supervised learning , less accurate outputs - disadvantage of unsupervised learning , not labeled , but clustered based on features - unsupervised data ,

types of machine learning algorithm

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