The Basics of Deep Learning and How To Apply It To Predict Failures - DZone Big Data

Not many people understand how these unwanted messages are separated from wanted messages. You can't simply filter based on sender address, as new spam addresses can easily be created. The second reason is that spam is often sent from legitimate email accounts hijacked by third parties. The best way to separate spam is to look at the content of the email messages. The most effective techniques to do this are based on machine learning.