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Machine learning is famous for its ability to analyze large data sets and identify patterns. It is basically a subset of artificial intelligence that leverages previous data-sets and statistical analysis to make assumptions and pass on judgments about behavior. Cyber attackers are also using this technology to develop sophisticated malware and cybersecurity attacks that can bypass and fool security systems. In this article, you will learn about seven ways in which hackers use machine learning to fulfill their malicious designs. We are already seeing malware that can change their behavior so they can not be identified by protection systems.