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

Here you are in this great, vast wilderness with untold potential for Doing Things — and you can't do a damn one of them. You can ride a horse in a straight line, and then you can do it again. There's ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

If you are taking the first step in learning Bash scripting, then you have come to the right place. This introduction to Bash scripting guide is created with a bunch of different topics that will make ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

The CUIT Research Services HPC Training Series is designed to onboard researchers to shared high-performance computing (HPC) resources at Columbia. Led by HPC engineers, these hands-on sessions will ...