From a cybersecurity point of view, I believe the value of data refers first to the “nature” of the data itself.  Positive data, i.e. malicious network traffic data from malware and cyberattacks, have much more value than some other data science problems. To better understand this, let’s start to discuss how a wealth of network traffic data can be used to build network security models through the use of machine learning techniques.

Machine learning, together with data science and big data, is gaining a lot of popularity due to its widespread use in many tech companies around the world. The applications of machine learning range from recommendation systems (e.g., Netflix, Amazon) to spam filtering by popular Web-based email providers to image and voice recognition and many other applications.

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