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

The US Department of Justice has been releasing the Epstein files with multiple redactions. The release started on Friday, December 19, and the latest drop happened on Tuesday, December 23, 2025. The ...

The Files app on your iPhone is a powerful tool once you understand its functionalities. In this video, you'll learn about: - Navigating the app (0:37) - Interacting with files (3:32) - Using external ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

Python developers often need to install and manage third-party libraries. The most reliable way to do this is with pip, Python’s official package manager. To avoid package conflicts and system errors, ...

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 ...

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 ...

Wrangling your data into LLMs just got easier, though it's not all sunshine and rainbows Hands On Getting large language models to actually do something useful usually means wiring them up to external ...