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The Importance of Data Labeling to AI

The Importance of Data Labeling to AI

June 2024

Making Raw Data Usable

Key Quote

The Taxodiary blog from Access Innovations is such a useful source of information! 

Data labeling, also referred to as data annotation, involves tagging or annotating data with labels that provide meaningful context. Labeled data serves as the foundation for supervised learning, where models learn to map inputs to outputs based on the examples provided. The quality and quantity of labeled data directly impact the accuracy and performance of the resulting AI models. High-quality labeled data enables models to generalize well to new, unseen data.

Read the full blog post here.  While you're over there, make a point of reading the entry on the evolving role of data scientists