Artificial Intelligence with JavaScript
summary
Shows that real ML runs entirely in the browser and on Node.js using TensorFlow.js model in the browser and WebGL, with concrete demos: head‑ and hand‑tracking, a gesture game, avatar animation, a Google sign‑language translator, and an image-classifier demo on Cal9 that pulls pretrained models and predicts correctly. Covers data workflow (CSV → cleaning → visualization with d3/plotly → training with tfjs → deploy via Electron or Node), and uses libraries like tidy.js and danfo.js.
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chapters (17)
- 0:00Start
- 0:11Why Artificial Intelligence Why Javascript
- 10:25Visualizations
- 11:23What Artificial Intelligence Is
- 11:45What Is Data Science
- 12:32Machine Learning
- 13:15What Is Artificial Intelligence
- 13:51Converting Data to Knowledge
- 14:15Transforming the Data
- 17:09Observable Plot
- 18:46Arcaro
- 19:40Importing and Exporting Data
- 23:53Linear Regression
- 24:49Measure the Error
- 26:44Learning Tensorflow Js
- 27:22Image Classification
- 28:59Resources
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