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.

The WebGL-accelerated library works with the Node.js server-side JavaScript runtime, but isn’t on par with Tensorflow’s Python API Google’s TensorFlow open source machine learning library ...

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 ...

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 ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world.

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.

Microsoft wants you to build for the cloud and has developed a free Node.js course to help learners on their journey.

“Successful machine learning is only as good as the data available, which is why it needs new, updated data to provide the most accurate outputs or predictions for any given need,” said ...