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In this\nsecond part of our two-part treatise, we focus on the problem of data-driven\ndiscovery of partial differential equations. Depending on whether the available\ndata is scattered in space-time or arranged in fixed temporal snapshots, we\nintroduce two main classes of algorithms, namely continuous time and discrete\ntime models. 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