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Python isn't the only option for programming machine learning applications: there’s a growing group of developers who use JavaScript to run machine learning models.
JavaScript’s low bar to entry has resulted in one of the richest programming language ecosystems in the world. This month’s ...
Deeplearn.js joins other projects that bring machine learning to JavaScript and the browser, including TensorFire, which allows execution of neural networks within a webpage, and ML.js, which ...
Eliran Eliassy shows how to create a prediction model with a web application using TensorFlow.js and other deep learning tools that can run in the browser.
The machine-learning algorithm learns from user behavior to identify patterns in code use, streaming, and instrumenting only the relevant HTML or JavaScript code to reduce download size and ...
In May, Kite added JavaScript support, launched a Pro plan with advanced line-of-code completions for Python, and updated its engine to use deep learning, a type of machine learning.
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