H2O.ai
H2O is a fast, scalable machine learning and deep learning framework developed by H2O.ai, released under the open-source Apache license. According to the company website, as of the time of writing this book, more than 20,000 organizations use H2O for their ML/deep learning needs. The company offers many products like H2O AI cloud, H2O Driverless AI, H2O wave, and Sparkling Water. In this section, we will explore its open-source product, H2O.
It works on big data infrastructure on Hadoop, Spark, or Kubernetes clusters and it can also work in standalone mode. It makes use of distributed systems and in-memory computing, which allows it to handle a large amount of data in memory, even with a small cluster of machines. It has an interface for R, Python, Java, Scala, and JavaScript, and even has a built-in web interface.
H2O includes a large number of statistical-based ML algorithms such as generalized linear modeling, Naive Bayes, random forest, gradient boosting, and...
