Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
A Tutorial on how to Connect Python with Different Simulation Software to Develop Rich Simheuristics
Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.
Excel to SQLite simplifies the process of importing Excel data into SQLite databases. It provides automatic schema detection, data transformations, validation rules, and includes an intelligent ...
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