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Computation Graphs for AAD and Machine Learning Part II: Adjoint Differentiation and AAD

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Second in a series of three articles with code, exploring the notion of computation graph, with words, mathematics and code, and application in Machine Learning and finance to compute a vast number of derivative sensitivities with spectacular speed and accuracy.


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