Indeed D&D’s complex rules, extended campaigns and need for teamwork are an ideal environment to evaluate the long-term ...

Johnson & Johnson’s post-Kenvue shift boosts growth and free cash flow, with an elite balance sheet but mixed revisions.

Abstract: The “black-box” nature of machine learning (ML) and deep learning (DL) models has raised concerns about the trustworthiness of landslide susceptibility mapping (LSM) results among users.

More than reading about theory, actual experiences are what shape our understanding. These can be efficiently provided ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

In this tutorial, we build an advanced Agentic Retrieval-Augmented Generation (RAG) system that goes beyond simple question answering. We design it to intelligently route queries to the right ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

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 ...

Abstract: A growing number of knowledge graphs are being released by diverse sources. The massive volume of linked data aims to provide entities with semantic context. The entities can be validated in ...

Objective: To develop a decision tree model using clinical risk factors to predict massive pulmonary hemorrhage (MPH) and MPH-related mortality in extremely low birth weight infants (ELBWIs). Method: ...