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: Quantum Computing (QC) technology and Deep Learning (DL) science have garnered significant attention for their potential to revolutionize computation. This paper introduces the basic ...
Learning Python is a smart move these days. It’s used everywhere, from making websites to crunching numbers. The good news? You don’t need to spend a fortune to get started. There are tons of great, ...
Python Library for Monte Carlo Simulations with Ab Initio and Machine-Learned Interatomic Potentials
Dave C. Swalm School of Chemical Engineering and Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, Mississippi 39762, United States Department of Chemical and ...
In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
Ritwik is a passionate gamer who has a soft spot for JRPGs. He's been writing about all things gaming for six years and counting. No matter how great a title's gameplay may be, there's always the ...
So, you’re looking to get a handle on Ubuntu and Python, huh? It’s a pretty solid combo for anyone wanting to do some serious coding. Whether you’re just starting out or you’ve been around the block a ...
String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...
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