Large volumes of IoT data are often best handled using machine learning.
Historically, the only way to get software to do something has been to write down an algorithm which explains in painstaking detail what to do at each step of the process.
By contrast, machine learning algorithms work things out on their own by making inferences from data.
The more data that they have, the better they become.
Now we no longer need to program algorithms, instead they program themselves.
Partnering with Nøhrgaard engineers, mathematicians and software developers, enables clients to leverage the full power of machine learning algorithms.
These range from simple support vector machines and genetic algorithms through to deep recurrent neural networks and bespoke machine learning algorithms.