In [Part 1](https://github.com/pw2/STAN-Blog-Tutorials/blob/main/STAN%20Part%201%20-%20Intro%20to%20STAN%20Code.Rmd) we laid the ground work for coding in `STAN` and ...

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...

The pandemic-era interactive workout mirror is getting a beauty equivalent. Called Swan Beauty, the new AI and AR mirror that features skin analysis, product recommendations, routine tracking, creator ...

In this tutorial, we implement an advanced Optuna workflow that systematically explores pruning, multi-objective optimization, custom callbacks, and rich visualization. Through each snippet, we see ...

Abstract: This tutorial aims to provide an intuitive introduction to Gaussian process regression (GPR). GPR models have been widely used in machine learning applications due to their representation ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Have you ever found yourself staring at a spreadsheet, trying to make sense of all those numbers? Many face the challenge of transforming raw data into actionable insights, especially when it comes to ...

Callum is a seasoned gaming managing editor for a number of publications and a gamer who will always try to shine a spotlight on indie games before giving AAA titles the time of day. He loves nothing ...

I'm always frustrated when deep learning libraries (or books on deep learning libraries) have an example for classification but not regression. I realize that for the experienced user, it's easy to ...