H2O provides a scalable distributed machine learning platform with implementations of popular algorithms including deep neural networks, gradient boosting machines (XGBoost), random forests, generalized linear models, k-means, PCA, and automatic machine learning. It offers interfaces in R, Python, Scala, Java, and a web-based notebook UI, and integrates with Hadoop and Spark for big data processing. Models can be exported as POJO or MOJO for production scoring.