An example of the data science life cycle, which describes the stages of data science research.

This 2nd edition covers the entire data science life cycle, from data access and preparation to modeling, visualization and deployment.

The joint offering combines Driverless AI for AutoML and KNIME Server for workflow management across the entire data science life cycle - from data access to optimization and deployment.

Data provided by Thomson Reuters Web of Science; Consultation by jevin west, university of Washington; Analysis and Data visualization by Accurat. This article originally appeared in the May 2014 ...