AI and machine learning can help transform a massive pile of data into useful insights. Understanding which branch of machine learning to use supervised or unsupervised is key to getting the most impactful analysis. IBM’s Mark Sturdevant identifies the key differences and explains concepts like clustering, regression analysis, and dimensionality reduction.
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