Data in, intelligence out: Machine learning pipelines demystified

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It’s tempting to think of machine learning as a magic black box. In goes the data; out come predictions. But there’s no magic in there—just data and algorithms, and models created by processing the data through the algorithms. If you’re in the business of deriving actionable insights from data through machine learning, it helps for […]
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