Soft Computing is a broader field that includes various techniques for handling uncertainties and imprecise data, while Machine Learning is a more specific field focused on learning algorithms and models for data-driven decision-making. There can be overlaps between the two fields, as some Soft Computing techniques, like neural networks, can also be considered part of Machine Learning.
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