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

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

UPDATE March 8, 2021: This repository is no longer under development. Together with Mike Kestemont and Allen Riddell, I have published a much more comprehensive book ...

Python has emerged as one of the most popular programming languages due to its simplicity, versatility, and robust ecosystem. When it comes to web development, Django stands out as a powerful, ...

Microsoft Excel is an important skill to develop and is used extensively in the Level 1 Physics labs at Durham for data analysis and graph plotting. Below is an introductory guide to the software. The ...

Abstract: Automated programming assessment tools are software systems widely used in education to assess programming code without manual intervention. Beyond exam scenarios, these tools are ...

The guide provides a tutorial on building an advanced artificial intelligence (AI) agent using Python and Retrieval Augmented Generation (RAG). The AI agent is capable of utilizing various tools and ...

Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...