The following codes are for educational purpose only and not intended to be used / submitted as your own solutions. Cheating violates the Academic Honesty of the course, not to mention it's totally ...

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

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 ...

Interested in some of the ways to use Python on a Windows 11? After you download and installation and verified that it’s working correctly, this guide will help you get started to help write a Python ...

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 ...

An Introduction to Programming and Computer Science with Python, second edition is a free, open source textbook available under a CC BY-NC-SA license. Originally developed for UVM’s CS 1210 ...

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 ...

There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques, to ...