StackState Blog

The basics of Deep Learning - How to apply it to predict failures

Posted by Tamis Achilles van der Laan on Jul 12, 2016 5:00:33 PM

 

Deep Learning is a hot topic. Big players like Google, Microsoft and IBM invest heavily in new projects around Deep Learning. Their goal? Developing neural networks which learn more and more complex tasks. But how does it work?

 

Spam filters already filter out our unwanted email with extreme high precision. 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 send 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.

Read More

Topics: Product, Artificial Intelligence

Our Mission

Creating an Error Free IT Environment

To accomplish this, we created the world’s first Algorithmic IT Operations platform that analyzes large volumes of IT topology, telemetry and time from disparate sources and applies various forms of algorithmics to the data in real-time. StackState is able to capture your entire IT stack. In one data model.


Join over 5,000 people from companies like eBay, American Express, Cisco, Tesco, ING and more who get our best new posts delivered via email. Subscribe below if you'd like to get it too:

Subscribe to Email Updates

Most Popular Posts