When faced with large, unstructured, and unlabeled datasets, many companies use Unsupervised Machine Learning (U-ML) to discover patterns and identify previously unknown factors that may drive business outcomes. While U-ML is a potentially powerful tool, it is important to understand its limitations and the relative advantages of different approaches to it.
This course provides a high-level overview of unsupervised machine learning and highlights key factors to consider when using U-ML to solve business problems.
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