Monitor Your Data As Well As Your Model by Max Kuhn Visit https://rstats.ai/nyr/ to learn more. Abstract: With operations coming into its own, there is a lot to say about the how’s and why’s of model monitoring. However, until you update it, the model doesn’t change; it’s the data that moves. We’ll look at some tools to measure data drift with an eye towards model operations. Bio: Max Kuhn is a software engineer at RStudio. He is currently working on improving R's modeling capabilities. He was a Senior Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He was applying models in the pharmaceutical and diagnostic industries for over 18 years. Max has a Ph.D. in Biostatistics. Max is the author of numerous R packages for techniques in machine learning and reproducible research. He, and Kjell Johnson, wrote the book Applied Predictive Modeling, which won the Ziegel award from the American Statistical Association, which recognizes the best book reviewed in Technometrics in 2015. Their second book, Feature Engineering and Selection, was published in 2019. Twitter: https://twitter.com/topepos Presented at the 2022 New York R Conference (June 10, 2022)