Data Science

Build an expected field-goal model in Python to separate shot selection from shot making, and better evaluate NBA shooting performance.

A Python benchmark called RevisionTrace tests whether AI systems correctly update dependent facts when core data changes, revealing accuracy as low as 0.7%.

A complete, step-by-step tutorial for building the Breakout arcade game using vibe coding and an AI assistant, with every prompt and code block explained.

Build a supervised AI agent crew in 150 lines of Python. Three specialized agents research, write, and edit while you sleep.

Character.AI's legal troubles illustrate how engineering decisions create real-world liability. Here's what AI practitioners need to understand.

Scikit-LLM bridges LLMs and scikit-learn for few-shot text classification. Classify new text accurately with just a handful of labeled examples.

Learn how to build a LangGraph refund agent that pauses for human approval before executing financial actions using interrupt() checkpoints.

Jev turns agent decisions into typed outputs with probabilities. Here are ten GitHub repositories showing practical ways to build with it.

A curated guide to 10 solved AI projects spanning machine learning to generative AI, with tools, learning outcomes, and source code links.

Learn how tool calling and code execution differ as agent action primitives, and when to choose each based on cost, latency, and accuracy.

RAG and fine-tuning solve different problems. Learn the mechanical difference, see working code examples, and use a six-point framework to decide.

MLOps, LLMOps, and AgentOps solve different operational problems. Learn how observability evolves as AI systems move from prediction to action.