what are the elements of supervised machine learning
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Every machine learning algorithm has three components: Representation: how to represent knowledge. Examples include decision trees, sets of rules, instances, graphical models, neural networks, support vector machines, model ensembles and others.
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In brief minimum mode is designed for single processor environment while maximum mode is designed for multiprocessor environment. In minimum mode processing unit issues control signals required by memory and i/o devices .
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