Students will learn about preparing the data for machine learning, common machine learning techniques and tools (supervised learning, unsupervised learning, deep learning, and large-scale data analysis), and their applications to cybersecurity such as detecting anomalies, detecting known types of attacks like injections, clustering user activities, adversarial learning, etc.
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