Apart from being a student of Physics I'm also a developer and recently in the context of cloud development I've been hearing a lot about cloud based Machine Learning. After looking at some examples of it I found it quite impressive.
With Machine Learning we can process lots of data and we can have the computer analyze it in many ways. As I saw we can use this to detect patterns, find anomalies in the data and so forth.
Although I'm much more interested in theoretical Physics and I don't understand much about experimental Physics I believe that as experiments in Physics gets more complex the analysis of the gathered data also increases in complexity.
This made me wondering if those methods of cloud based machine learning can be used in Physics to analyse experimental data. Is this something that's been used recently or it has no use at all? If it has no use at all, why is that the case?