Chapter 2: Platform Components and Key Concepts

In this chapter, we will gain a fundamental understanding of the components of H2O's machine learning at scale technology. We will view a simple code example of H2O machine learning, understand what it does, and identify any problems the example has with machine learning at an enterprise scale. This Hello World code example will serve as a simple representation in which to build our understanding further.

We will overview each H2O component of machine learning at scale, identify how each component achieves scale, and identify how each component relates to our simple code snippet. Then, we will tie these components together into a reference machine learning workflow using these components. Finally, we will focus on the underlying key concepts that arise from these components. The understanding obtained in this chapter will be foundational to the rest of the book, where we will be implementing H2O technology to build and deploy...