Carolyn SaplickiinIBM Data Science in PracticeMAS AI/ML Modernization Accelerator: Air Compressor Use CaseBy Carolyn Saplicki, IBM Data ScientistJan 9Jan 9
Carolyn SaplickiinIBM Data Science in Practicedynamite in RBy Carolyn Saplicki, Data ScientistOct 18, 2023Oct 18, 2023
Carolyn SaplickiinIBM Data Science in PracticeShift the Focus: From Asset to Model ManagementBy Carolyn Saplicki, Senior Data Scientist, and Erika Agostinelli, Senior Data ScientistJun 16, 2023Jun 16, 2023
Carolyn SaplickiinIBM Data Science in PracticeAI Fairness in IndustryBy Erika Agostinelli (IBM Senior Data Scientist), Stefan van der Stockt (IBM Lead Data Scientist, Master Inventor) and Carolyn Saplicki…May 26, 2023May 26, 2023
Carolyn SaplickiinIBM Data Science in PracticeDeploying and Monitoring Deep Learning Models on Cloud Pak for DataBy Courtney Branson, Advisory Data Scientist, and Carolyn Saplicki, Senior Data ScientistMar 21, 2023Mar 21, 2023
Carolyn SaplickiinIBM Data Science in PracticeFairness in Machine Learning: Pre-Processing AlgorithmsCo-authored by Carolyn Saplicki, Senior Data Scientist with Expert Labs, and Mitali Bante, Data Scientist with Expert Labs.Mar 13, 2023Mar 13, 2023
Carolyn SaplickiinIBM Data Science in PracticeCustom Images and Monitoring for R Models with Watson Machine Learning & Watson OpenScaleCo-authored by Carolyn Saplicki and Courtney BransonJan 26, 2023Jan 26, 2023
Carolyn SaplickiinIBM Data Science in PracticeFairness Explained: Definitions and MetricsCo-authored by Carolyn Saplicki, Senior Data Scientist with Expert Labs Trustworthy AI Practice, and Mitali Bante, Senior Data Scientist…Nov 11, 2022Nov 11, 2022
