Glossary term
Glossary term
Foundations
Data Preprocessing cleans and formats raw data by removing errors and standardizing text, ensuring AI models receive structured, consistent inputs they can effectively learn from.
Pandas and Polars are the standard Python libraries for tabular data preprocessing in ML pipelines.
Hugging Face Datasets and Tokenizers handle text preprocessing for transformer model training.
Databricks and Snowpark provide enterprise-scale data preprocessing for AI workloads.