11 Cool Ways to Use Machine Learning - InformationWeek
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12/4/2015
10:06 AM
Lisa Morgan
Lisa Morgan
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11 Cool Ways to Use Machine Learning

Machine learning is becoming widespread, and organizations are using it in a variety of ways, including improving cybersecurity, enhancing recommendation engines, and optimizing self-driving cars. Here's a look at 11 interesting use cases for this technology.
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Stop Malware 
In 2014,  Kaspersky Lab reported it was detecting 325,000 new malicious files every day. At that rate, humans and even signature-based security solutions can't keep up, which is why machine learning and deep learning are necessary.      
'Nearly all new malware differs less than 2% from previous malware,' said Eli David, CTO of institutional intelligence company  Deep Instinct, in an interview. 'Our deep learning model has no problem dealing with the 2% - 10% mutations we see every day.'   
Deep Instinct uses a large core of several million malicious files, tens of millions of legitimate files and malware that Deep Instinct may have mutated by 20% - 50% for training purposes. The more radical malware mutations make the training more difficult, but they also make the model more resilient. Once the training is finished and the synapses have been updated, a text file of the synapses can run deep learning in prediction mode.
(Image: ClkerFreeVectorImages via Pixabay)

Stop Malware

In 2014, Kaspersky Lab reported it was detecting 325,000 new malicious files every day. At that rate, humans and even signature-based security solutions can't keep up, which is why machine learning and deep learning are necessary.

"Nearly all new malware differs less than 2% from previous malware," said Eli David, CTO of institutional intelligence company Deep Instinct, in an interview. "Our deep learning model has no problem dealing with the 2% - 10% mutations we see every day."

Deep Instinct uses a large core of several million malicious files, tens of millions of legitimate files and malware that Deep Instinct may have mutated by 20% - 50% for training purposes. The more radical malware mutations make the training more difficult, but they also make the model more resilient. Once the training is finished and the synapses have been updated, a text file of the synapses can run deep learning in prediction mode.

(Image: ClkerFreeVectorImages via Pixabay)

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batye
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batye,
User Rank: Ninja
2/3/2016 | 11:12:04 AM
Re: amazing
@kstaron, yes I could not agree more as security is important this days... and you could never have lot of security... 
kstaron
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kstaron,
User Rank: Ninja
12/21/2015 | 9:50:37 AM
amazing
Some of these are reallt interesting. I love that it could help detect Malware and inprove Cybersecurity. The ones that help read legalese and out wit the other litigator thought I think would probably first only be used by the ones that already have the advantage over the other party, leading to an even greater advantage that I don't feel entirely comfortable with. It's amazing what we've been able to accomplish with machine learning though.
batye
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50%
batye,
User Rank: Ninja
12/7/2015 | 11:20:35 PM
Re: interesting
thank you, as I did learn something new...
LisaMorgan
50%
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LisaMorgan,
User Rank: Moderator
12/7/2015 | 11:09:00 AM
Re: interesting
Thanks!  Glad you enjoyed it!
batye
50%
50%
batye,
User Rank: Ninja
12/6/2015 | 12:51:19 AM
interesting
interesting to know, thank you...
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