As Louisiana prepares to implement a statewide computer science graduation requirement, students at the Louisiana School for ...

Build NotebookLM workflows with router prompts and checkpoints, so you cut repeated chats and get consistent outputs across tasks.

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming ...

I tried four vibe-coding tools, including Cursor and Replit, with no coding background. Here's what worked (and what didn't).

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Systematic options trading helps traders harness volatility using data, probability, and disciplined risk management.

Abstract: Through the use of combined deep learning and anomaly detection approaches, this research investigates the area of cybersecurity threat detection. The study proves the framework’s ...

Abstract: Open-science collaboration using Jupyter Notebooks may expose expensively trained AI models, high-performance computing resources, and training data to security vulnerabilities, such as ...

An Introduction to Statistical Learning. It includes exercise solutions implemented in Python using Jupyter Notebooks, following the chapters of the book. The goal is to better understand statistical ...

00 - PyTorch Fundamentals Many fundamental PyTorch operations used for deep learning and neural networks. Go to exercises & extra-curriculum Go to slides 01 - PyTorch Workflow Provides an outline for ...