Image classification is one of the most common applications of Machine Learning today. From facial recognition and tracking in your camera when you take a photo to lane identification in self-driving cars, situations that require a computer to understand what is in an image are all around us. But how exactly does a computer go from raw pixel values to determining whether an object in an image is a dog, a cat, or banana? One way to do it is to use an algorithm called “Gaussian Naive Bayes,“ a classifier t
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