Explain Data Augmentation? What are its uses?
Ans: Data augmentation adds value to base data by adding information derived from internal and external sources within an original data. Data augmentation can be applied to any form of data, but may be especially useful for customer data, sales patterns, product sales, where additional information can help provide more in-depth insight.
Data augmentation can help reduce the manual intervention required to developed meaningful information and insight of data, as well as significantly enhance data quality.
Some example augmentation techniques include translating, cropping, scaling, rotating, changing brightness and contrast.