Businesspeople need to demand more from machine learning so they can connect data scientists’ work to relevant action. This requires basic machine learning literacy — what kinds of problems ...

The simplest examples of supervised machine learning algorithms are linear support vector machines and perceptrons. These methods seek to find an optimal separating hyperplane between two classes ...

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Lately, there have been a lot of libraries cropping up in the realm of Machine Learning (ML ... embedded modules for array optimization and linear algebra, just like NumPy. Playing a key role ...