Data-centric AI (DCAI): Difference between revisions

Data-centric AI (DCAI) (view source)

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 ==Reasons for Data-centric AI==
-*Data quality issues are costing the U.S. alone an estimated $3 Trillion annually.
+*Data quality issues alone are estimated to cost the United States $3 Trillion annually.
-*Automated methods and systematic engineering principles are now needed to ensure ML models are trained with clean data.
+*Automated methods, systematic engineering principles and automated methods are required to ensure that ML models are trained using clean data.
-*Recent research on image classification with noisily labeled data revealed simple methods which adaptively change the dataset can lead to more accurate models than sophisticated modeling strategies.
+*Recent research has shown that simple methods that adapt to changing data can produce more accurate models than complex modeling strategies.