Have you ever questioned whether Javascript is a viable alternative to Python or R for creating machine learning models? After all, a 2019 survey by Stack Overflow found that Javascript is the language developers use the most. This approach seems ridiculous because neural networks require a lot of computational power and javascript was not intended for high-speed computing. But hold on, javascript libraries like Onnx.js and Tensorflow.js are here to save the day! Using WebAssembly as a supported backend for machine learning inference and training, these libraries with the help of WASM allow you to do all the ML heavy lifting right in the browser I'll be going into further detail on how to create machine-learning applications and use WASMwith JavaScript in this talk.