A production-ready Python development environment template using modern tools: uv for blazing-fast package management, Ruff for lightning-fast linting and formatting, ty for fast and reliable type ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: This tutorial brief shows how Artificial Neural Networks (ANNs) can be used for the optimization and automated design of analog and mixed-signal circuits. A survey of conventional and ...

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 ...

Combining Neo4j with Claude, MCP, and network monitoring has given the truck giant real-time visibility into how its systems, data, and processes interconnect A graph-based representation of ...