VentureBeat

When Claude changed, everything changed: Managing AI blast radius in production

Our system did one thing, and it did it well: It turned natural-language questions into API calls. The users were analysts, account managers, and operations leads. They knew what data they needed, but ...
GitHub

Tigramite – Causal inference for time series datasets

Update: Tigramite now has a new CausalEffects class that allows to estimate (conditional) causal effects and mediation based on assuming a causal graph. Have a look at the tutorial. Further, Tigramite ...
Ministry of Testing

A practical introduction to testing LLMs

Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...
How-To Geek on MSN

Your Excel regression is probably a mess—here's how Python fixes it

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.
XDA Developers on MSN

I used Meta Llama 4, Qwen 3-Coder and Gemma 4 to develop a Python app, and only one model is worth keeping for developers

Putting some of the best local models to the development test ...
IEEE

Yiqi Liu

Root Mean Square Error,Long Short-term Memory,Neural Network,Attention Mechanism,Model Predictive Control,Recurrent Neural Network,Control Input,Convolutional Neural Network,Deep Learning,Model ...
GitHub

akylaimanalieva/Strait-of-Hormuz-Assumption-Testing

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
University of Waterloo

Project 19 - Why Sparse Regression Works?

So, this project wants to answer: Why does sparse regression often work well in practice, even when the usual theoretical assumptions do not clearly apply? We will study this question using ideas from ...