Abstract: List comprehensions are a Pythonic functional construct allowing developers to express in a concise way loops to build and manipulate lists. Previous studies point to a gain in speed when ...

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...

Bangladeshi students, who love to call Mumbai their home, continue to look forward to building their future and hope that the diplomatic strains between the two countries will soon improve. Their hope ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

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

This beginner-friendly tutorial shows how to create clear, interactive graphs in GlowScript VPython. You’ll learn the basics of setting up plots, graphing data in real time, and customizing axes and ...

During the summer, it’s extremely difficult to work in the heat. The company’s safety personnel stop the work at 11am and we resume in the afternoon. Because of the heat, workers often faint. It’s so ...