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

Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...

pDESy is a Python package for Discrete Time-Event Simulation (DES). It aims to be the fundamental high-level building block for practical, real-world engineering project management by using DES and ...

Abstract: Being able to build a map of the environment and to simultaneously localize within this map is an essential skill for mobile robots navigating in unknown environments in absence of external ...

🌟 Why Choose This Scraper? The Google Events API delivers enterprise-grade performance with these advanced capabilities: Performance & Reliability: Built optimized for high-throughput scraping with ...