Defining the truth: how Sophos overcomes uncertain labels in machine learning

Credit to Author: hillaryeatsdata| Date: Wed, 30 Aug 2017 11:30:00 +0000

Uncertain labels are a challenge of applying machine learning to cybersecurity. We look at some of the ways Sophos overcomes this obstacle.<img alt=”” border=”0″ src=”https://pixel.wp.com/b.gif?host=news.sophos.com&#038;blog=834173&#038;post=41424&#038;subd=sophos&#038;ref=&#038;feed=1″ width=”1″ height=”1″ /><img src=”http://feeds.feedburner.com/~r/sophos/dgdY/~4/d-PHAiFCTxI” height=”1″ width=”1″ alt=””/>

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Demystifying deep learning: how Sophos builds machine learning models

Credit to Author: madelineschiappa| Date: Fri, 11 Aug 2017 16:18:00 +0000

An introduction to the process Sophos takes towards the development of a deep learning model.<img alt=”” border=”0″ src=”https://pixel.wp.com/b.gif?host=news.sophos.com&#038;blog=834173&#038;post=41232&#038;subd=sophos&#038;ref=&#038;feed=1″ width=”1″ height=”1″ /><img src=”http://feeds.feedburner.com/~r/sophos/dgdY/~4/eiquJHCbRvw” height=”1″ width=”1″ alt=””/>

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We’re taking a quantum leap over traditional machine learning

Credit to Author: Bill Brenner| Date: Fri, 02 Jun 2017 15:38:29 +0000

Many security vendors already use machine learning. So, what makes our deep learning approach different and how much better does it perform?<img alt=”” border=”0″ src=”https://pixel.wp.com/b.gif?host=news.sophos.com&#038;blog=834173&#038;post=33700&#038;subd=sophos&#038;ref=&#038;feed=1″ width=”1″ height=”1″ /><img src=”http://feeds.feedburner.com/~r/sophos/dgdY/~4/YcUYaF3esfk” height=”1″ width=”1″ alt=””/>

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