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 ...
A tool for analyzing codebases to understand their token usage and compatibility with various Large Language Models (LLMs). This tool helps developers understand if their code can fit within different ...
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