Data Science Tutorials

The F statistic is used to test whether a model explains variation in the data better than random chance. This guide explains what the F statistic means, how it is calculated, and how to interpret it.

Learn how to fine-tune Gemma 4 E4B-it on a human emotions dataset using LoRA, 4-bit quantization, and a single 3090 GPU.

Learn what an objective function is, how it works in optimization and machine learning, and how to define and interpret it with real examples.

Learn how to build a fully local, multimodal AI coding assistant powered by Gemma 4 via Ollama, featuring agentic tool use wrapped in Gradio UI.

Learn how to build a browser-based AI agent that searches the web, extracts live flight data, and returns clean recommendations using GLM-5-Turbo.

Discover how Gemini Embedding 2 has revolutionized the way we can build search and RAG systems by introducing native multimodality. Text, video, images, and audio can now all live in the same embedding space.

Claude Cowork Dispatch 101: Control your desktop AI agent from your phone. Assign tasks and automate file workflows remotely with our complete 2026 expert guide.

Learn how to install and configure claude-mem, the Claude Code plugin that gives your sessions persistent memory through structured compression and retrieval.

Set up vLLM on a H100 GPU, serve Qwen3.5-27B, connect OpenCode, and test fast agentic coding with long context support.

Discover NemoClaw, NVIDIA's enterprise security layer for OpenClaw. Learn how to deploy safe, auditable AI agents with sandboxing and privacy controls in this complete setup guide.

Learn how to use NVIDIA’s Nemotron 3 Super through OpenRouter to analyze a GitHub repository without RAG, using prompt packing and a Gradio app.

Learn how to fine-tune Qwen3.5-9B on the Latex OCR dataset using QLoRA in Unsloth Studio, then test the model in chat and export it in GGUF format for local inference.