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In 2019, more than 627 million online records were comprised due to hacking and other types of cyber attacks. Machine learning is a two-sided sword, and hackers can (and do) utilize it as well. With machine learning, regression and prediction are made easier (to be more precise, they are made effortless with the right programming) When it comes to cybersecurity, machine learning can determine when suspicious transactions far outside of the predicted scope occur, often signaling some sort of fraudulent action.
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