ML is a subfield of AI empowering computers to analyze vast datasets and make informed decisions. This drives innovation across sectors like healthcare, finance, and e-commerce.
However, as ML takes center stage, so do concerns about data privacy.
Consider this: In 2022, over 1,800 data breaches led to the sensitive data exposure of 422 million individuals. This alarming statistic underscores the urgency to address data privacy in ML applications.