The growing volume and complexity of omics data have created a need for standardized and user-friendly analysis approaches. Workshops and sessions on R-based data processing have become highly ...

RAG can make your AI analytics way smarter — but only if your data’s clean, your prompts sharp and your setup solid.

Learn the essential tools and frameworks for creating intelligent AI agents that revolutionize industries and solve complex ...

Abstract: The rapid evolution of artificial intelligence (AI) has paved the way for substantial improvements in data science workflows, particularly in data preprocessing and feature selection. These ...

Cybersecurity researchers have discovered two new malicious packages in the Python Package Index (PyPI) repository that are designed to deliver a remote access trojan called SilentSync on Windows ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Abstract: This study is based on the application of a real-measured data preprocessing method using data augmentation techniques. In response to the scarcity of sample data in the fields of ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. With the rapid growth of artificial intelligence and machine learning across ...