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It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) . We will ...
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and explain how those algorithms relate to the creation of models for prediction, classification, image processing, language processing, game-playing and robotics, and generative AI. Machine ...
The strategy of choice for the parallelization of training is the so-called data parallel approach, based on the parallel training of the different inputs (typically images ... and we derive a dynamic ...
Images can be seen as graphs of pixels ... of weights for a GNN that’ll make it nicely behave as that dynamic programming algorithm. But it doesn’t necessarily tell you what’s the best ...
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