Listing 3 shows Java code for the gradient descent algorithm. The thetas of the regression function will be trained using the training data, data labels, and the learning rate (α).

Learn how to build and deploy a machine-learning data model in a Java-based production environment using Weka, Docker, and REST.

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 ...

How To Exclude Bias From A Machine Learning Algorithm There are three key rules that my team and I always observe when creating ML algorithms: • Ensure proper data collection.

In short, there are increasing capabilities to code (production-ready-ish) data science algorithms in Java and if not in Java then call other languages from Java.

A machine-learning algorithm called CEBRA was developed to learn how high-dimensional data can be embedded in a lower-dimensional space (called a latent space, in latent dimensions), either using ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help ...

What is deep learning? Deep learning is machine learning on steroids: it uses a technique that gives machines an enhanced ability to find—and amplify—even the smallest patterns.