Abstract: A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of ...

This project aims to predict medical insurance costs using personal features such as age, BMI, smoking status, number of children, and region. We implement and compare different regression models, ...

A ProcMon trace shows DLL lookup attempts against unrelated PATH entries (e.g., C:\Program Files (x86)\Nmap\python313.dll → NAME NOT FOUND) before aborting — suggesting the exe calls ...

When Philip Inghelbrecht talks about the power of AI in advertising, he has the numbers to back it up. “Two years ago, we were 280 people. Today, we’re still 280. Yet in revenue, we were half this ...

Abstract: The paper introduces PyLexFLP: an implementation of the lexicographic method for fuzzy linear programming (FLP) in the Python programming language. We first describe the types of FLP ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...