Programming

The Coding Train

The Coding Train demonstrates how to implement a Naive Bayes text classifier in JavaScript from scratch, using a concrete library book probability example to explain Bayes Theorem before coding a lightweight, browser-based word-frequency classification system.

The Coding Train

Daniel Shiffman builds a local browser-based conversational chatbot using p5.js and Transformers.js, demonstrating how to run lightweight open-source AI models (Whisper for speech-to-text, Kokoro for text-to-speech) entirely in the browser without cloud dependencies.

The Net Ninja

Dan Schiffman outlines The Coding Train's return to regular content, detailing a sustainable workflow of converting live streams into edited tutorials, dual-path teaching strategies for p5.js 2.0 features like async/await and variable fonts, and a 2026 roadmap involving a studio move to enable physical computing.

Programming with Mosh

This course teaches developers to build production-ready AI features using React and Node.js, emphasizing clean architecture and core LLM concepts over 'vibe coding,' with hands-on projects including a chatbot and review summarizer.