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

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 ...

Community driven content discussing all aspects of software development from DevOps to design patterns. A simple application that prints nothing more than the words Hello World is the seminal start to ...

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 ...

Matplotlib is a feature-rich module for producing a wide array of graphs, plots, charts, images, and animations. Since Matplotlib is not part of the Python core libraries (like the math and csv ...

4 keys to writing modern Python Here’s what you need to know (and do) if you want to write Python like it’s 2025, not 2005. How to use uv, the super-fast Python package installer Last but not least, ...

The OpenAPI specification, and the Swagger suite of tools built around it, make it incredibly easy for Python developers to create, document and manually test the RESTful APIs they create. Regardless ...

AI tools are the latest craze to impact the tech industry — and by extension, the rest of the world. For years now, bosses everywhere are trying to boost profits by replacing workers with AI, and ...