Mastering .NET Machine Learning

Summary

This was a fairly ambitious chapter. We looked at some of the challenges of big data and how to use MBrace to help us with distributed machine learning. We then created a sample IoT project to show an example of how big data is generated and how we can deploy ML models to devices. The IoT app used two ML models to give optimal results. We then looked (briefly) at how we can use the power of .NET to build multiple input devices so that we can extend across the variety of hardware that is, and will be, available for IoT.