Set up a supervised learning project, then develop and train your first prediction function using gradient descent in Java.

One of these implementations is based on Deep Java Library (DJL), an open source library developed by Amazon to build machine learning in Java.

Key projects, for example, Project Panama, enhance ease of access, and will bring compute-intensive deep learning-friendly CUDA and OpenCL-based libraries and GPU hardware within easier reach.

Amazon's Deep Java Library (DJL) is one of several implementations of the new JSR 381 standard for building machine learning applications in Java.

Amazon has announced DJL, an open source library to develop Deep Learning models in Java. This article details how to get started with the toolkit. The library aims to reduce number of software ...

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

The key difference between a false positive and a false negative is that a false positive incorrectly asserts that something will happen, while a false negative incorrectly asserts that something will ...

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.

A big new developer survey shows that Python has finally passed Java in the programming language popularity wars, propelled by its propensity for use in machine learning and data science projects.