XOR Operation
XOR (Exclusive OR) operation is a logical operation that outputs true only when inputs differ (one is true and the other is false). In data science, XOR operation is used in machine learning algorithms to create non-linear decision boundaries. XOR operation is a binary operation, meaning it operates on two binary values (0 or 1). The output of XOR operation is 1 if the inputs are different, and 0 if the inputs are the same. XOR operation is commonly used in neural networks to combine inputs in a non-linear way, allowing the network to learn complex patterns and relationships in the data.
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