Python has become the go-to language for data science thanks to its simplicity, versatility, and massive library ecosystem. From cleaning messy datasets to building advanced machine learning models, ...

Oracle AI Database 26ai was built to provide value right from the start. This data platform enhances performance stability, enables in-database AI, and reduces operational costs without requiring ...

In this tutorial, we build an advanced explainable AI analysis pipeline using SHAP-IQ to understand both feature importance and interaction effects directly inside our Python environment. We load a ...

Therefore, this tutorial describes the use of traditional qualitative methods to analyze a large corpus of qualitative text data. We use examples from a nationwide SMS text messaging poll of youth to ...

Abstract: A methodology for dynamic code analysis for SQL injection detection (DCAD) has been developed. It includes the stages of identifying data entry points, tracking data flows, generating test ...

Abstract: Large language models (LLMs) are being woven into software systems at a remarkable pace. When these systems include a back-end database, LLM integration opens new attack surfaces for SQL ...

Another year passes. I was hoping to write more articles instead of just these end-of-the-year screeds, but I almost died in the spring semester, and it sucked up my time. Nevertheless, I will go ...

Data Science Program, University of Delaware, Newark, Delaware 19716, United States Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States ...

This project analyzes a Pizza Sales dataset using SQL to uncover key business insights that can support data-driven decision-making. The analysis includes basic, intermediate, and advanced SQL queries ...

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 ...