6 machine learning misunderstandings

Ryan Francis for NetworkWorld:  Machine learning isn’t confined to science fiction movie plots anymore; it’s fueled the proliferation of technologies that touch our everyday lives, including voice recognition with Siri or Alexa, Facebook auto-tagging photos and recommendations from Amazon and Spotify. And many enterprises are eager to leverage machine learning algorithms to increase the efficiency of their network. In fact, some are already using it to enhance their threat detection and optimize wide area networks.

As with any technology, machine learning could wreak havoc on a network if improperly implemented. Before embracing this technology, enterprises should be aware of the ways machine learning can fall flat to avoid setting back their operations and turning the c-suite away from implementing this technology. Roman Sinayev, security intelligence software engineer at Juniper Networks, cites ways to avoid the top machine learning missteps.  Cont'd...

Comments (0)

This post does not have any comments. Be the first to leave a comment below.


Post A Comment

You must be logged in before you can post a comment. Login now.

Featured Product

Russell Finex - Reclaiming and recycling additive manufacturing powders

Russell Finex - Reclaiming and recycling additive manufacturing powders

The Russell AMPro Sieve Station™ guarantees the quality of your additive manufacturing (AM) powder, and has been designed to provide optimum sieving efficiency, ensuring your powder is ready for use or reuse as and when you require it. With a simple one-button operation and mobile design, this automated check screener ensures your powder at every stage of the process is qualified for use quickly and safely. The flexibility of the Russell AMPro Sieve Station™ means you can use the system for numerous powder handling tasks - being a modular design ensures the machine can be configured to meet your exact requirements.