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: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
The course opens with an introductory session focusing on the Python programming basics required by users wishing to exploit the Stata – Python connectivity, before moving on to illustrate how to use ...
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