Active model-based learning is a unique capability which supports users through the more complex aspects of process model development.
The models are embedded with experimental design intelligence which consider the process goals, model selection, and data conditions to make suggestions for the next run of experiments.
This technology makes process model development simpler and faster. You no longer need to be a data scientist to understand the dark arts of process model development as DataHowLab provides
assistance during this critical step. For specialists more at ease with this discipline, DataHowLab will make this step more efficient as active learning currently out-performs current methods
and available solutions (trial-and-error or pure design of experiments) on time and cost.