H2O-3

What this post added

This post introduces H2O-3 as the foundational open-source distributed in-memory machine learning platform. It details its key features including algorithm support (GBM, GLM, Deep Learning, etc.), multi-language access (R, Python, Flow), AutoML capabilities, distributed in-memory processing, and easy model deployment (POJOs/MOJOs). It also outlines its integration with existing big data infrastructure (Hadoop, Spark, Kubernetes) and data sources (HDFS, Spark, S3, Azure Data Lake). Enterprise support options and use cases are also mentioned.