Abstract: In this paper, we propose a software/hardware co-accelerator architecture based on approximate k-d tree for accelerating k-nearest neighbor (KNN) search. Firstly, aiming at the ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...
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