DOE: A Critical Component in the Data Scientist’s Toolbox

Design of experiments (DOE) has become increasingly significant in today’s data science landscape. As its varying methodologies continue to develop and take shape, you may find yourself asking which of these methodologies are essential for your data science toolkit.

In this Statistically Speaking, father-daughter duo Dr. Christopher Nachtsheim and Dr. Abby Nachtsheim answer this question, while also discussing applications where DOE approaches have been successfully used to strategically develop synthetic data sets for test and evaluation of ML algorithms.

Learn more about:

• A combination of existing and novel DOE methodologies and their relevance to your data science toolkit.
• How to successfully use DOE for strategic development.
• The significance of continued collaboration among statisticians in the development of high-quality research.