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In machine learning there seem to be various types of learning. I commonly hear about

However, it is not always clear to me how they differ or what paradigm is best used for a particular task. I can also imagine that these paradigms do not cover all possible tasks, as this list and the series topics on that page seem to suggest. Therefore, my question: What are the differences between these paradigms and what other paradigms should I know about?

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What types of learning should I know about? Question

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