Recent years have seen a proliferation of specialized ML accelerators—proposed in both academia (e.g., Gemmini, FEATHER) and industry (e.g., Google TPU, Intel AMX)—that depart significantly from ...

Abstract: Tensor decomposition has been widely recognized as a promising approach for addressing missing data in traffic flow analysis. Recent studies have demonstrated its effectiveness in capturing ...

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 ...