In the last five chapters, we have learned how to work with five different IoT platforms, performing the simple operation of sending data from our smart device to the platform, as well as the means to build visualization.
In this chapter, we are going to take this process one level forward by adding intelligence to the solution that we are building.
We are going to use Azure Machine Learning (AML) Studio to build a machine learning (ML) model from existing weather data, and from this data model, we are going to make a prediction as to whether it will rain using temperature and humidity as an input.
The topics covered in this chapter are as follows:
- What is machine learning?
- What is AML and how do we use it?
- Building and validating the AML model using web services.
