Machine Learning Algorithms

While Deeplearning4j and its suite of open-source libraries - ND4J, DataVec, Arbiter, etc. - primarily implement scalable, deep artificial neural networks, developers can also work with more traditional machine-learning algorithms using our framework. ND4J is a generic tensor library, so the sky's the limit on what can be implemented. We are integrating with Haifeng Li's SMILE, or Statistical Machine Intelligence and Learning Engine, which implements more than one hundred different statistical and machine-learning algorithms, including random forests and GBMs. SMILE shows the best performance of any open-source JVM-based machine-learning library we've seen. Below you'll find explanations of popular machine-learning algorithms and examples of how they are applied.