fromHackernoon3 months agoCLAIM: A Contextual Language Model for Accurate Imputation of Missing Tabular Data | HackerNoonCLAIM uses pre-trained large language models to improve data imputation by leveraging contextual natural language descriptors.
SciencefromHackernoon1 month agoTeaching AI to Say "I Don't Know": A Four-Step Guide to Contextual Data Imputation | HackerNoonThree standard mechanisms for missing data are defined: MCAR, MAR, and MNAR.
Data sciencefromHackernoon2 years agoEveryone in AI Loves Synthetic Data-But No One Can Agree on What It Is | HackerNoonSynthetic data is not one-dimensional; it encompasses multiple categories including data imputation, user creation, insights modeling, and manufactured outcomes.