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<blockquote data-quote="ForgottenSeer 89360" data-source="post: 914168"><p>It does indeed.</p><p></p><p>If you are looking for easy, yet detailed description on how machine learning works, take a look at the McAfee resources I’ve shared here:</p><p>Thread 'Security News and Resources from McAfee'</p><p><a href="https://malwaretips.com/threads/security-news-and-resources-from-mcafee.105132/" target="_blank">Update - Security News and Resources from McAfee</a></p><p></p><p>If you wonder how it may be just as effective as others, once you understand machine learning and how Microsoft treats unknown files, you’ll have your answer.</p><p></p><p>You can compare the malware detection process to the way your phone camera detects objects. Once you take a picture, a technology that detects skies, faces, eyes, grass and food, amongst others, is utilised. Every object is then processed separately, instead of over-saturating the blue colour in the whole picture, giving your face a blue tint, it will saturate just the blue colour in the sky. That’s a simple example as well.</p><p>To develop this technology a programmer can sit down and write algorithms. He must explain to the machine how each one of these objects looks like, just like in the past developers were explaining how malware looks like in the form of definitions. Whilst this is not mission impossible, it would take ages and its effectiveness won’t be enough for good pictures.</p><p>A more effective approach would be to show a machine 10k pictures that have clouds and 10k pictures that don’t. The machine learning will then turn the object “cloud” into a complex mathematical model. Second, smaller set of pictures will be used to validate the model and third set will be used for developers to test how successful the model is. It’s important that all 3 sets are DIFFERENT (no leakage in machine learning)</p><p>The picture you just took is a second model, that will just be compared to the other one. If similarly is found, then your picture contains clouds/sky.</p><p></p><p>Microsoft has fed their machine learning really well, that’s how they keep up with others. It has invested in many other technologies as well, shown in the graphics above.</p></blockquote><p></p>
[QUOTE="ForgottenSeer 89360, post: 914168"] It does indeed. If you are looking for easy, yet detailed description on how machine learning works, take a look at the McAfee resources I’ve shared here: Thread 'Security News and Resources from McAfee' [URL='https://malwaretips.com/threads/security-news-and-resources-from-mcafee.105132/']Update - Security News and Resources from McAfee[/URL] If you wonder how it may be just as effective as others, once you understand machine learning and how Microsoft treats unknown files, you’ll have your answer. You can compare the malware detection process to the way your phone camera detects objects. Once you take a picture, a technology that detects skies, faces, eyes, grass and food, amongst others, is utilised. Every object is then processed separately, instead of over-saturating the blue colour in the whole picture, giving your face a blue tint, it will saturate just the blue colour in the sky. That’s a simple example as well. To develop this technology a programmer can sit down and write algorithms. He must explain to the machine how each one of these objects looks like, just like in the past developers were explaining how malware looks like in the form of definitions. Whilst this is not mission impossible, it would take ages and its effectiveness won’t be enough for good pictures. A more effective approach would be to show a machine 10k pictures that have clouds and 10k pictures that don’t. The machine learning will then turn the object “cloud” into a complex mathematical model. Second, smaller set of pictures will be used to validate the model and third set will be used for developers to test how successful the model is. It’s important that all 3 sets are DIFFERENT (no leakage in machine learning) The picture you just took is a second model, that will just be compared to the other one. If similarly is found, then your picture contains clouds/sky. Microsoft has fed their machine learning really well, that’s how they keep up with others. It has invested in many other technologies as well, shown in the graphics above. [/QUOTE]
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